Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (May 26, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788183@events.umich.edu Event Begins: Thursday, May 26, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

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Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-05-26T09:30:00-04:00 2022-05-26T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (May 26, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786519@events.umich.edu Event Begins: Thursday, May 26, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

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Meeting Tue, 03 May 2022 12:22:15 -0400 2022-05-26T14:00:00-04:00 2022-05-26T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Tuesdays, 9:30-11am) (May 31, 2022 9:30am) https://events.umich.edu/event/94931 94931-21786488@events.umich.edu Event Begins: Tuesday, May 31, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Erin Ware (SRC) and Jon Reader (MADRC)

Expertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows

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Meeting Wed, 20 Jul 2022 07:37:05 -0400 2022-05-31T09:30:00-04:00 2022-05-31T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Tuesdays, 2-3:30pm) (May 31, 2022 2:00pm) https://events.umich.edu/event/94933 94933-21786504@events.umich.edu Event Begins: Tuesday, May 31, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE

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Meeting Wed, 20 Jul 2022 07:38:50 -0400 2022-05-31T14:00:00-04:00 2022-05-31T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (June 2, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788184@events.umich.edu Event Begins: Thursday, June 2, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

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Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-06-02T09:30:00-04:00 2022-06-02T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (June 2, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786520@events.umich.edu Event Begins: Thursday, June 2, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

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Meeting Tue, 03 May 2022 12:22:15 -0400 2022-06-02T14:00:00-04:00 2022-06-02T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
7th Annual Gilbert S. Omenn, MD, PhD Lecture (June 3, 2022 10:00am) https://events.umich.edu/event/95013 95013-21788268@events.umich.edu Event Begins: Friday, June 3, 2022 10:00am
Location: Off Campus Location
Organized By: Omenn Lecture

Talk Title: Biomedical Data Science: The Hope, Hype, and Promise

Abstract: Data science was introduced as a “new” profession in the early 1960s, yet the Office of Data Science Strategy at the National Institutes of Health (NIH) was not established until 2018. Artificial intelligence (AI) traces its roots to at least the 1950s, with its first application as an expert system in medicine in the early 1970s. Yet, the NIH Working Group on AI was not established until 2018 as well, with their first report issued in 2019. This is not to say that these topics have been neglected over the past half-century, but it begs the question of why have they only now come to the forefront of biomedicine? We have seen multiple AI booms and busts, each of which has caused massive hype, dream crushing failures, and notable advancements (some more flashy than others) along the way. This talk is not intended to be a history lesson, but it will provide some context for how we got to where we are and what this says about where biomedical research and healthcare seems to be heading. I will further provide insight into how various innovations in computation, policy, and industry have pushed the field forward and where recently established programs to expand AI activities, such as AIM-AHEAD and Bridge2AI, may push the biomedical research community over the next decade. To ground this presentation, I will provide examples of how AI and data science more generally have driven activities at the All of Us Research Program and the Vanderbilt Health Data Science Center.

Short Bio: Bradley Malin is the Vice Chair for Research in the Department of Biomedical Informatics at Vanderbilt University Medical Center and is the Accenture Professor of Biomedical Informatics, Biostatistics, and Computer Science at Vanderbilt University. He founded and co-directs the Vanderbilt Health Data Science Center, as well as the Center for Genetic Privacy and Identity in Community Settings (GetPreCiSe), the latter of which is an NIH Center of Excellence in Ethical, Legal, and Social Implications Research. Since 2007, he has chaired the Committee on Access, Privacy, and Security (CAPS) for the NIH-sponsored All of Us Research Program and, in 2021, he became one of the founding PIs of the NIH Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD). He serves on various governmental advisory bodies, including the Board of Scientific Counselors of the National Center for Health Statistics (NCHS) of the U.S. Centers for Disease Control and Medicine (CDC). He was honored as a Presidential Early Career Award for Scientists and Engineers (PECASE) and is an elected member of the National Academy of Medicine (NAM), the American College of Medical Informatics (ACMI), the American Institute for Medical and Biological Engineering (AIMBE), and the International Academy of Health Sciences Informatics (IAHSI) . He received a B.S. in Biological Sciences, M.S. in Machine Learning, M.Phil. in Public Policy and Management, and Ph.D. in Computer Science, all from Carnegie Mellon University.

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Lecture / Discussion Fri, 06 May 2022 12:03:12 -0400 2022-06-03T10:00:00-04:00 2022-06-03T11:00:00-04:00 Off Campus Location Omenn Lecture Lecture / Discussion Bradley Malin, PhD
7th Annual Gilbert S. Omenn, MD, PhD Lecture (June 3, 2022 10:00am) https://events.umich.edu/event/95013 95013-21789263@events.umich.edu Event Begins: Friday, June 3, 2022 10:00am
Location: Off Campus Location
Organized By: Omenn Lecture

Talk Title: Biomedical Data Science: The Hope, Hype, and Promise

Abstract: Data science was introduced as a “new” profession in the early 1960s, yet the Office of Data Science Strategy at the National Institutes of Health (NIH) was not established until 2018. Artificial intelligence (AI) traces its roots to at least the 1950s, with its first application as an expert system in medicine in the early 1970s. Yet, the NIH Working Group on AI was not established until 2018 as well, with their first report issued in 2019. This is not to say that these topics have been neglected over the past half-century, but it begs the question of why have they only now come to the forefront of biomedicine? We have seen multiple AI booms and busts, each of which has caused massive hype, dream crushing failures, and notable advancements (some more flashy than others) along the way. This talk is not intended to be a history lesson, but it will provide some context for how we got to where we are and what this says about where biomedical research and healthcare seems to be heading. I will further provide insight into how various innovations in computation, policy, and industry have pushed the field forward and where recently established programs to expand AI activities, such as AIM-AHEAD and Bridge2AI, may push the biomedical research community over the next decade. To ground this presentation, I will provide examples of how AI and data science more generally have driven activities at the All of Us Research Program and the Vanderbilt Health Data Science Center.

Short Bio: Bradley Malin is the Vice Chair for Research in the Department of Biomedical Informatics at Vanderbilt University Medical Center and is the Accenture Professor of Biomedical Informatics, Biostatistics, and Computer Science at Vanderbilt University. He founded and co-directs the Vanderbilt Health Data Science Center, as well as the Center for Genetic Privacy and Identity in Community Settings (GetPreCiSe), the latter of which is an NIH Center of Excellence in Ethical, Legal, and Social Implications Research. Since 2007, he has chaired the Committee on Access, Privacy, and Security (CAPS) for the NIH-sponsored All of Us Research Program and, in 2021, he became one of the founding PIs of the NIH Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD). He serves on various governmental advisory bodies, including the Board of Scientific Counselors of the National Center for Health Statistics (NCHS) of the U.S. Centers for Disease Control and Medicine (CDC). He was honored as a Presidential Early Career Award for Scientists and Engineers (PECASE) and is an elected member of the National Academy of Medicine (NAM), the American College of Medical Informatics (ACMI), the American Institute for Medical and Biological Engineering (AIMBE), and the International Academy of Health Sciences Informatics (IAHSI) . He received a B.S. in Biological Sciences, M.S. in Machine Learning, M.Phil. in Public Policy and Management, and Ph.D. in Computer Science, all from Carnegie Mellon University.

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Lecture / Discussion Fri, 06 May 2022 12:03:12 -0400 2022-06-03T10:00:00-04:00 2022-06-03T11:00:00-04:00 Off Campus Location Omenn Lecture Lecture / Discussion Bradley Malin, PhD
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 6, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788811@events.umich.edu Event Begins: Monday, June 6, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-06T10:00:00-04:00 2022-06-06T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (June 6, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788755@events.umich.edu Event Begins: Monday, June 6, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-06T11:00:00-04:00 2022-06-06T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Tuesdays, 9:30-11am) (June 7, 2022 9:30am) https://events.umich.edu/event/94931 94931-21786489@events.umich.edu Event Begins: Tuesday, June 7, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Erin Ware (SRC) and Jon Reader (MADRC)

Expertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows

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Meeting Wed, 20 Jul 2022 07:37:05 -0400 2022-06-07T09:30:00-04:00 2022-06-07T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 7, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788918@events.umich.edu Event Begins: Tuesday, June 7, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-07T10:00:00-04:00 2022-06-07T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (June 7, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788756@events.umich.edu Event Begins: Tuesday, June 7, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-07T11:00:00-04:00 2022-06-07T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Tuesdays, 2-3:30pm) (June 7, 2022 2:00pm) https://events.umich.edu/event/94933 94933-21786505@events.umich.edu Event Begins: Tuesday, June 7, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE

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Meeting Wed, 20 Jul 2022 07:38:50 -0400 2022-06-07T14:00:00-04:00 2022-06-07T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 8, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788813@events.umich.edu Event Begins: Wednesday, June 8, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-08T10:00:00-04:00 2022-06-08T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (June 8, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788757@events.umich.edu Event Begins: Wednesday, June 8, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-08T11:00:00-04:00 2022-06-08T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Drug Commercialization and Launch (June 8, 2022 3:30pm) https://events.umich.edu/event/93273 93273-21702119@events.umich.edu Event Begins: Wednesday, June 8, 2022 3:30pm
Location: Off Campus Location
Organized By: Innovation Partnerships

In this lecture, we will focus on drug commercialization and early planning for launch to maximize the commercial value of a novel therapeutic. Specific emphasis in the session will be placed on discussing early planning for launch and commercialization. The discussion will also highlighting some of the common pitfalls during commercialization and how to avoid them while you and building an organization for launch success.

Learn more at:
https://innovationpartnerships.umich.edu/stories/cure-symposium-drug-development/

]]>
Lecture / Discussion Thu, 10 Mar 2022 16:00:43 -0500 2022-06-08T15:30:00-04:00 2022-06-08T16:30:00-04:00 Off Campus Location Innovation Partnerships Lecture / Discussion Drug Commercialization and Launch
CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (June 9, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788185@events.umich.edu Event Begins: Thursday, June 9, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-06-09T09:30:00-04:00 2022-06-09T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 9, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788920@events.umich.edu Event Begins: Thursday, June 9, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-09T10:00:00-04:00 2022-06-09T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (June 9, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788758@events.umich.edu Event Begins: Thursday, June 9, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-09T11:00:00-04:00 2022-06-09T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (June 9, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786521@events.umich.edu Event Begins: Thursday, June 9, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

]]>
Meeting Tue, 03 May 2022 12:22:15 -0400 2022-06-09T14:00:00-04:00 2022-06-09T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 10, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788815@events.umich.edu Event Begins: Friday, June 10, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-10T10:00:00-04:00 2022-06-10T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (June 10, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788759@events.umich.edu Event Begins: Friday, June 10, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-10T11:00:00-04:00 2022-06-10T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Introduction to Focus Group Interviewing Research Methods - Summer Institute in Survey Research Techniques (June 13, 2022 9:00am) https://events.umich.edu/event/95204 95204-21788973@events.umich.edu Event Begins: Monday, June 13, 2022 9:00am
Location:
Organized By: Summer Institute in Survey Research Techniques

Introduction to Focus Group Interviewing Research Methods

Course open for registration!

June 13-14, 2022
9:00am-4:00pm EST
M/T

This course introduces the skills needed to conduct focus group interviews. Students will learn about the critical components of successful focus group research. They will develop a plan for a focus group study and then practice key skills. Attention will be placed on recent developments in conducting virtual focus groups via Zoom. This course will be particularly applicable for those conducting focus group research in academic, non-profit, and government settings.

The course will cover these skills:
- Conducting in-person and virtual focus groups
- How to plan and design a focus group study
- Identifying information-rich participants and getting them to show up
- Beginning the focus group – the crucial first few minutes and moderating techniques
- Developing questions—Characteristics of good focus group questions
- Analyzing—Options for analysis

Why Take This Course?
Focus groups are used to understand issues, pilot test ideas, and evaluate programs. They also provide great insight when used in combination with surveys. Focus groups have been used to help design surveys, to pilot test surveys, and to understand survey findings. Take this course if you want to learn more about how focus groups might add to your research toolbox.

Course Hour: 1

Instructor: Richard Krueger

Prerequisite: An introductory course in research methods or equivalent experience.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:37 -0400 2022-06-13T09:00:00-04:00 2022-06-13T16:00:00-04:00 Summer Institute in Survey Research Techniques Class / Instruction Introduction to Focus Group Interviewing Research Methods
Introduction to Survey Methodology - Summer Institute in Survey Research Techniques (June 13, 2022 9:00am) https://events.umich.edu/event/95205 95205-21788975@events.umich.edu Event Begins: Monday, June 13, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Survey Methodology

Open for registration!

June 13-17, 2022
9:00am-12:00pm EST
M-F

This course covers the basic principles of survey design and methods and introduces the necessary components of a good quality survey. The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey

Course Hour: 1

Instructors: Emilia Peytcheva, Andy Peytchev

All 2022 courses will be offered in an alternative remote format

]]>
Class / Instruction Mon, 06 Jun 2022 10:18:11 -0400 2022-06-13T09:00:00-04:00 2022-06-13T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Survey Methodology
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 13, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788818@events.umich.edu Event Begins: Monday, June 13, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-13T10:00:00-04:00 2022-06-13T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (June 13, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788762@events.umich.edu Event Begins: Monday, June 13, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-13T11:00:00-04:00 2022-06-13T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Introduction to Focus Group Interviewing Research Methods - Summer Institute in Survey Research Techniques (June 14, 2022 9:00am) https://events.umich.edu/event/95204 95204-21788974@events.umich.edu Event Begins: Tuesday, June 14, 2022 9:00am
Location:
Organized By: Summer Institute in Survey Research Techniques

Introduction to Focus Group Interviewing Research Methods

Course open for registration!

June 13-14, 2022
9:00am-4:00pm EST
M/T

This course introduces the skills needed to conduct focus group interviews. Students will learn about the critical components of successful focus group research. They will develop a plan for a focus group study and then practice key skills. Attention will be placed on recent developments in conducting virtual focus groups via Zoom. This course will be particularly applicable for those conducting focus group research in academic, non-profit, and government settings.

The course will cover these skills:
- Conducting in-person and virtual focus groups
- How to plan and design a focus group study
- Identifying information-rich participants and getting them to show up
- Beginning the focus group – the crucial first few minutes and moderating techniques
- Developing questions—Characteristics of good focus group questions
- Analyzing—Options for analysis

Why Take This Course?
Focus groups are used to understand issues, pilot test ideas, and evaluate programs. They also provide great insight when used in combination with surveys. Focus groups have been used to help design surveys, to pilot test surveys, and to understand survey findings. Take this course if you want to learn more about how focus groups might add to your research toolbox.

Course Hour: 1

Instructor: Richard Krueger

Prerequisite: An introductory course in research methods or equivalent experience.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:37 -0400 2022-06-14T09:00:00-04:00 2022-06-14T16:00:00-04:00 Summer Institute in Survey Research Techniques Class / Instruction Introduction to Focus Group Interviewing Research Methods
Introduction to Survey Methodology - Summer Institute in Survey Research Techniques (June 14, 2022 9:00am) https://events.umich.edu/event/95205 95205-21788976@events.umich.edu Event Begins: Tuesday, June 14, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Survey Methodology

Open for registration!

June 13-17, 2022
9:00am-12:00pm EST
M-F

This course covers the basic principles of survey design and methods and introduces the necessary components of a good quality survey. The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey

Course Hour: 1

Instructors: Emilia Peytcheva, Andy Peytchev

All 2022 courses will be offered in an alternative remote format

]]>
Class / Instruction Mon, 06 Jun 2022 10:18:11 -0400 2022-06-14T09:00:00-04:00 2022-06-14T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Survey Methodology
CoderSpaces, Virtual Office Hours (Tuesdays, 9:30-11am) (June 14, 2022 9:30am) https://events.umich.edu/event/94931 94931-21786490@events.umich.edu Event Begins: Tuesday, June 14, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Erin Ware (SRC) and Jon Reader (MADRC)

Expertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:37:05 -0400 2022-06-14T09:30:00-04:00 2022-06-14T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 14, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788925@events.umich.edu Event Begins: Tuesday, June 14, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-14T10:00:00-04:00 2022-06-14T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (June 14, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788763@events.umich.edu Event Begins: Tuesday, June 14, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-14T11:00:00-04:00 2022-06-14T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Tuesdays, 2-3:30pm) (June 14, 2022 2:00pm) https://events.umich.edu/event/94933 94933-21786506@events.umich.edu Event Begins: Tuesday, June 14, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE

]]>
Meeting Wed, 20 Jul 2022 07:38:50 -0400 2022-06-14T14:00:00-04:00 2022-06-14T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Introduction to Survey Methodology - Summer Institute in Survey Research Techniques (June 15, 2022 9:00am) https://events.umich.edu/event/95205 95205-21788977@events.umich.edu Event Begins: Wednesday, June 15, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Survey Methodology

Open for registration!

June 13-17, 2022
9:00am-12:00pm EST
M-F

This course covers the basic principles of survey design and methods and introduces the necessary components of a good quality survey. The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey

Course Hour: 1

Instructors: Emilia Peytcheva, Andy Peytchev

All 2022 courses will be offered in an alternative remote format

]]>
Class / Instruction Mon, 06 Jun 2022 10:18:11 -0400 2022-06-15T09:00:00-04:00 2022-06-15T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Survey Methodology
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 15, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788820@events.umich.edu Event Begins: Wednesday, June 15, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-15T10:00:00-04:00 2022-06-15T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (June 15, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788764@events.umich.edu Event Begins: Wednesday, June 15, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-15T11:00:00-04:00 2022-06-15T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Introduction to Survey Methodology - Summer Institute in Survey Research Techniques (June 16, 2022 9:00am) https://events.umich.edu/event/95205 95205-21788978@events.umich.edu Event Begins: Thursday, June 16, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Survey Methodology

Open for registration!

June 13-17, 2022
9:00am-12:00pm EST
M-F

This course covers the basic principles of survey design and methods and introduces the necessary components of a good quality survey. The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey

Course Hour: 1

Instructors: Emilia Peytcheva, Andy Peytchev

All 2022 courses will be offered in an alternative remote format

]]>
Class / Instruction Mon, 06 Jun 2022 10:18:11 -0400 2022-06-16T09:00:00-04:00 2022-06-16T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Survey Methodology
CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (June 16, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788186@events.umich.edu Event Begins: Thursday, June 16, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-06-16T09:30:00-04:00 2022-06-16T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 16, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788927@events.umich.edu Event Begins: Thursday, June 16, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-16T10:00:00-04:00 2022-06-16T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (June 16, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788765@events.umich.edu Event Begins: Thursday, June 16, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-16T11:00:00-04:00 2022-06-16T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Modeling Autonomous Vehicle's Lane Change Decision-Making in Weaving Sections of Freeway Ramps (June 16, 2022 1:00pm) https://events.umich.edu/event/95251 95251-21789065@events.umich.edu Event Begins: Thursday, June 16, 2022 1:00pm
Location: Off Campus Location
Organized By: Center for Connected and Automated Transportation

To date, no systems can recommend when lane changes should be engaged in weaving sections of limited length to ensure that traffic stays safely and smoothly separated. In this presentation, Dr. Lin will describe the naturalistic driving data mining and modeling for the driver’s lane change decision-making in freeway weaving sections. The models were further tested in automated driving with computer simulation and demonstrated in the environment of augmented reality at Mcity. This study could provide valuable insights for developing AV lane change features.

More about this research: https://myumi.ch/j26wj

---

About the speakers:
Dr. Brian Lin earned his BS, MS, and Ph.D. in Industrial Engineering from National Tsing Hua University in Taiwan. Dr. Lin has 11 years of experience in automotive human factors research at UMTRI after his Ph.D. His current research is focused on mining naturalistic driving data using statistical and machine-learning methods, driver-assist-system evaluation, driver performance and behavior assessment, and driver distraction and workload mitigation. His most recent work includes human driver’s lane-change maneuvers, drivers’ decisions at intersections, and passengers’ motion discomfort in moving vehicles. Dr. Lin has much experience in conducting experiments to evaluate advanced automotive systems, including auto-braking, lane departure, driver-state monitoring, electronic head units, car-following and curve-assist systems on L2 automation, and lane-change and intersection assist on L3 automation on public roads, test tracks, or simulation. He is familiar with the methods to investigate driver distraction, workload, and human-machine interaction with in-vehicle technologies and safety features. He serves as a peer reviewer for Applied Ergonomics, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, Transportation Research Part F, and Transportation Research Record.

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Livestream / Virtual Mon, 23 May 2022 12:57:30 -0400 2022-06-16T13:00:00-04:00 2022-06-16T14:00:00-04:00 Off Campus Location Center for Connected and Automated Transportation Livestream / Virtual Promotional Image for the CCAT Research Review with Brian Lin. It features Brian's headshot and a photo of highway traffic.
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (June 16, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786522@events.umich.edu Event Begins: Thursday, June 16, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

]]>
Meeting Tue, 03 May 2022 12:22:15 -0400 2022-06-16T14:00:00-04:00 2022-06-16T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Introduction to Survey Methodology - Summer Institute in Survey Research Techniques (June 17, 2022 9:00am) https://events.umich.edu/event/95205 95205-21788979@events.umich.edu Event Begins: Friday, June 17, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Introduction to Survey Methodology

Open for registration!

June 13-17, 2022
9:00am-12:00pm EST
M-F

This course covers the basic principles of survey design and methods and introduces the necessary components of a good quality survey. The course employs the Total Survey Error framework to discuss sampling frames and designs, modes of data collection and their effects on survey errors, the cognitive processes involved in answering survey questions and their impact on questionnaire design, pretesting methods and post-data collection processing. The goal of the course is to give an introduction to the skills and resources needed to design and conduct a survey

Course Hour: 1

Instructors: Emilia Peytcheva, Andy Peytchev

All 2022 courses will be offered in an alternative remote format

]]>
Class / Instruction Mon, 06 Jun 2022 10:18:11 -0400 2022-06-17T09:00:00-04:00 2022-06-17T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Introduction to Survey Methodology
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 17, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788822@events.umich.edu Event Begins: Friday, June 17, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-17T10:00:00-04:00 2022-06-17T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (June 17, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788766@events.umich.edu Event Begins: Friday, June 17, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-17T11:00:00-04:00 2022-06-17T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Total Data Quality-Part 1 - Responsive Survey Design: A Research Education Program - Summer Institute in Survey Research Techniques (June 20, 2022 9:00am) https://events.umich.edu/event/95448 95448-21789936@events.umich.edu Event Begins: Monday, June 20, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Total Data Quality-Part 1

Webinar open for registration!

June 20, 2022
9:00am-1:30pm
M

This is the first of two webinars that will introduce participants to a general framework for evaluating and maximizing data quality when working with data from a variety of different study designs. In this first webinar, we will introduce a general framework for evaluating total data quality (TDQ), considering concepts related to sampling, nonresponse, measurement, processing, and data analysis. We will then discuss how to apply this framework to different types of data sources, including designed data (such as surveys) and found / organic data (which arise following some organic process, e.g., consumer transactions), focusing on various metrics for evaluating total data quality.

Not for academic credit workshop.

Instructors: Brady T. West, James Wagner, Trent Buskirk & Jinseok Kim

All 2022 courses will be held in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 12:01:18 -0400 2022-06-20T09:00:00-04:00 2022-06-20T13:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Writing Questions for Surveys - Summer Institute in Survey Research Techniques (June 20, 2022 9:00am) https://events.umich.edu/event/95206 95206-21788980@events.umich.edu Event Begins: Monday, June 20, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Writing Questions for Surveys

Open for registration!

June 20-22, 2022
9:00am-2:30pm EST
M-W

Course Objectives
- Introduce a structural analysis of parts of a survey question
- Introduce cognitive interviewing as a method for testing survey questions
- Describe guidelines for diagnosing problems in survey questions and writing new survey questions
- Focus on the structure and wording of survey questions, whether for interviewer-administered or self- administered instruments
- Provide an opportunity to apply the guidelines and principles during in-class exercises
- Focus on improving individual questions and sets of questions.
- Summarize research that underlies key decisions in writing survey questions.

Description
This workshop distills research about survey questions to principles that can be applied to write survey questions that are clear and obtain reliable answers. The workshop provides students with tools to use in diagnosing problems in survey questions and in writing their own survey questions. Sessions combine lecture with group exercises and discussion. The lecture provides guidelines for writing and revising survey questions and illustrates how to revise troubled questions. Assignments require that students analyze problematic questions, revise them, and administer them to fellow students. Sessions consider both questions about events and behaviors and questions about subjective phenomena (such as attitudes, evaluations, and internal
states).

Who Should Attend
Individuals who will be writing or reviewing survey questions or survey instruments or analyzing survey data. This course gives practical guidance to those who have written survey questions but who are not familiar with research on question design, those who are just beginning to design survey instruments, and those who use survey data but do not themselves design survey instruments.

Course Hour: 1

Instructor: Nora Cate Schaeffer

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:19:46 -0400 2022-06-20T09:00:00-04:00 2022-06-20T14:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Writing Questions for Surveys
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 20, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788825@events.umich.edu Event Begins: Monday, June 20, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-20T10:00:00-04:00 2022-06-20T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (June 20, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788769@events.umich.edu Event Begins: Monday, June 20, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-20T11:00:00-04:00 2022-06-20T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 20, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788983@events.umich.edu Event Begins: Monday, June 20, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-20T13:00:00-04:00 2022-06-20T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
Writing Questions for Surveys - Summer Institute in Survey Research Techniques (June 21, 2022 9:00am) https://events.umich.edu/event/95206 95206-21788981@events.umich.edu Event Begins: Tuesday, June 21, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Writing Questions for Surveys

Open for registration!

June 20-22, 2022
9:00am-2:30pm EST
M-W

Course Objectives
- Introduce a structural analysis of parts of a survey question
- Introduce cognitive interviewing as a method for testing survey questions
- Describe guidelines for diagnosing problems in survey questions and writing new survey questions
- Focus on the structure and wording of survey questions, whether for interviewer-administered or self- administered instruments
- Provide an opportunity to apply the guidelines and principles during in-class exercises
- Focus on improving individual questions and sets of questions.
- Summarize research that underlies key decisions in writing survey questions.

Description
This workshop distills research about survey questions to principles that can be applied to write survey questions that are clear and obtain reliable answers. The workshop provides students with tools to use in diagnosing problems in survey questions and in writing their own survey questions. Sessions combine lecture with group exercises and discussion. The lecture provides guidelines for writing and revising survey questions and illustrates how to revise troubled questions. Assignments require that students analyze problematic questions, revise them, and administer them to fellow students. Sessions consider both questions about events and behaviors and questions about subjective phenomena (such as attitudes, evaluations, and internal
states).

Who Should Attend
Individuals who will be writing or reviewing survey questions or survey instruments or analyzing survey data. This course gives practical guidance to those who have written survey questions but who are not familiar with research on question design, those who are just beginning to design survey instruments, and those who use survey data but do not themselves design survey instruments.

Course Hour: 1

Instructor: Nora Cate Schaeffer

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:19:46 -0400 2022-06-21T09:00:00-04:00 2022-06-21T14:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Writing Questions for Surveys
CoderSpaces, Virtual Office Hours (Tuesdays, 9:30-11am) (June 21, 2022 9:30am) https://events.umich.edu/event/94931 94931-21786491@events.umich.edu Event Begins: Tuesday, June 21, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Erin Ware (SRC) and Jon Reader (MADRC)

Expertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows

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Meeting Wed, 20 Jul 2022 07:37:05 -0400 2022-06-21T09:30:00-04:00 2022-06-21T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 21, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788932@events.umich.edu Event Begins: Tuesday, June 21, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-21T10:00:00-04:00 2022-06-21T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (June 21, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788770@events.umich.edu Event Begins: Tuesday, June 21, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-21T11:00:00-04:00 2022-06-21T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
LHS Collaboratory (June 21, 2022 12:00pm) https://events.umich.edu/event/95245 95245-21789057@events.umich.edu Event Begins: Tuesday, June 21, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

"Restructuring health systems for learning: Building equity into the Learning Health System"
Learn more about ELSI-LHS (Ethical, Legal, and Social Implications of Learning Health Systems). The session will be moderated by, Jody E. Platt, MPH, PhD, Assistant Professor of Learning Health Sciences.

Speaker:
Lauren A. Taylor, PhD, MDiv, MPH
Assistant Professor
Department of Population Health
Division of Medical Ethics
NYU Grossman School of Medicine

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Lecture / Discussion Wed, 25 May 2022 00:20:49 -0400 2022-06-21T12:00:00-04:00 2022-06-21T13:00:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 21, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788984@events.umich.edu Event Begins: Tuesday, June 21, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-21T13:00:00-04:00 2022-06-21T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
CoderSpaces, Virtual Office Hours (Tuesdays, 2-3:30pm) (June 21, 2022 2:00pm) https://events.umich.edu/event/94933 94933-21786507@events.umich.edu Event Begins: Tuesday, June 21, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE

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Meeting Wed, 20 Jul 2022 07:38:50 -0400 2022-06-21T14:00:00-04:00 2022-06-21T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
IT Disaster Recovery CoP June Meeting: Planning a Disaster Recovery Tabletop Exercise (June 21, 2022 2:00pm) https://events.umich.edu/event/95009 95009-21788251@events.umich.edu Event Begins: Tuesday, June 21, 2022 2:00pm
Location: Off Campus Location
Organized By: Michigan IT

The Disaster Recovery & Business Continuity Practitioners IT Community of Practice will host guest speaker Kevin Hayes, CISO of Merit Networks at 2pm on June 21st for his presentation "Planning a Disaster Recovery Tabletop Exercise."

Kevin Hayes is the chief information security officer at Merit Network, Inc. In this role, he is responsible for the management of IT security controls and products, responding to information security incidents big and small, and providing security policy and strategy guidance to Merit members, system administrators, and management. No stranger to the nonprofit world, Kevin has previously worked at Wayne State University, creating and directing the team of cyber professionals dedicated to keeping the organization secure. Kevin holds both CISSP and CISM certifications, is a member of the Governor’s Cyber Civilian Corps, and has been heard talking about security issues from time to time on the Detroit television stations WDIV-TV and WXYZ-TV, as well as the Detroit public radio station WDET-FM.

Anyone from the University community is welcome to attend this presentation over Zoom, no registration required.

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Presentation Thu, 05 May 2022 16:01:33 -0400 2022-06-21T14:00:00-04:00 2022-06-21T15:00:00-04:00 Off Campus Location Michigan IT Presentation
Writing Questions for Surveys - Summer Institute in Survey Research Techniques (June 22, 2022 9:00am) https://events.umich.edu/event/95206 95206-21788982@events.umich.edu Event Begins: Wednesday, June 22, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Writing Questions for Surveys

Open for registration!

June 20-22, 2022
9:00am-2:30pm EST
M-W

Course Objectives
- Introduce a structural analysis of parts of a survey question
- Introduce cognitive interviewing as a method for testing survey questions
- Describe guidelines for diagnosing problems in survey questions and writing new survey questions
- Focus on the structure and wording of survey questions, whether for interviewer-administered or self- administered instruments
- Provide an opportunity to apply the guidelines and principles during in-class exercises
- Focus on improving individual questions and sets of questions.
- Summarize research that underlies key decisions in writing survey questions.

Description
This workshop distills research about survey questions to principles that can be applied to write survey questions that are clear and obtain reliable answers. The workshop provides students with tools to use in diagnosing problems in survey questions and in writing their own survey questions. Sessions combine lecture with group exercises and discussion. The lecture provides guidelines for writing and revising survey questions and illustrates how to revise troubled questions. Assignments require that students analyze problematic questions, revise them, and administer them to fellow students. Sessions consider both questions about events and behaviors and questions about subjective phenomena (such as attitudes, evaluations, and internal
states).

Who Should Attend
Individuals who will be writing or reviewing survey questions or survey instruments or analyzing survey data. This course gives practical guidance to those who have written survey questions but who are not familiar with research on question design, those who are just beginning to design survey instruments, and those who use survey data but do not themselves design survey instruments.

Course Hour: 1

Instructor: Nora Cate Schaeffer

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:19:46 -0400 2022-06-22T09:00:00-04:00 2022-06-22T14:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Writing Questions for Surveys
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 22, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788827@events.umich.edu Event Begins: Wednesday, June 22, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-22T10:00:00-04:00 2022-06-22T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (June 22, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788771@events.umich.edu Event Begins: Wednesday, June 22, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-22T11:00:00-04:00 2022-06-22T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 22, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788985@events.umich.edu Event Begins: Wednesday, June 22, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-22T13:00:00-04:00 2022-06-22T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (June 23, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788187@events.umich.edu Event Begins: Thursday, June 23, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

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Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-06-23T09:30:00-04:00 2022-06-23T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 23, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788934@events.umich.edu Event Begins: Thursday, June 23, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-23T10:00:00-04:00 2022-06-23T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (June 23, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788772@events.umich.edu Event Begins: Thursday, June 23, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-23T11:00:00-04:00 2022-06-23T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 23, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788986@events.umich.edu Event Begins: Thursday, June 23, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-23T13:00:00-04:00 2022-06-23T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (June 23, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786523@events.umich.edu Event Begins: Thursday, June 23, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

]]>
Meeting Tue, 03 May 2022 12:22:15 -0400 2022-06-23T14:00:00-04:00 2022-06-23T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 24, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788829@events.umich.edu Event Begins: Friday, June 24, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-24T10:00:00-04:00 2022-06-24T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (June 24, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788773@events.umich.edu Event Begins: Friday, June 24, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-24T11:00:00-04:00 2022-06-24T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 24, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788987@events.umich.edu Event Begins: Friday, June 24, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-24T13:00:00-04:00 2022-06-24T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 27, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788832@events.umich.edu Event Begins: Monday, June 27, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-27T10:00:00-04:00 2022-06-27T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (June 27, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788776@events.umich.edu Event Begins: Monday, June 27, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-27T11:00:00-04:00 2022-06-27T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 27, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788990@events.umich.edu Event Begins: Monday, June 27, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-27T13:00:00-04:00 2022-06-27T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
CoderSpaces, Virtual Office Hours (Tuesdays, 9:30-11am) (June 28, 2022 9:30am) https://events.umich.edu/event/94931 94931-21786492@events.umich.edu Event Begins: Tuesday, June 28, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Erin Ware (SRC) and Jon Reader (MADRC)

Expertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:37:05 -0400 2022-06-28T09:30:00-04:00 2022-06-28T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 28, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788939@events.umich.edu Event Begins: Tuesday, June 28, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-28T10:00:00-04:00 2022-06-28T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (June 28, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788777@events.umich.edu Event Begins: Tuesday, June 28, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-28T11:00:00-04:00 2022-06-28T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 28, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788991@events.umich.edu Event Begins: Tuesday, June 28, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-28T13:00:00-04:00 2022-06-28T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
CoderSpaces, Virtual Office Hours (Tuesdays, 2-3:30pm) (June 28, 2022 2:00pm) https://events.umich.edu/event/94933 94933-21786508@events.umich.edu Event Begins: Tuesday, June 28, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE

]]>
Meeting Wed, 20 Jul 2022 07:38:50 -0400 2022-06-28T14:00:00-04:00 2022-06-28T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (June 29, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788834@events.umich.edu Event Begins: Wednesday, June 29, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-06-29T10:00:00-04:00 2022-06-29T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (June 29, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788778@events.umich.edu Event Begins: Wednesday, June 29, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-29T11:00:00-04:00 2022-06-29T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 29, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788992@events.umich.edu Event Begins: Wednesday, June 29, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-29T13:00:00-04:00 2022-06-29T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (June 30, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788188@events.umich.edu Event Begins: Thursday, June 30, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-06-30T09:30:00-04:00 2022-06-30T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (June 30, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788941@events.umich.edu Event Begins: Thursday, June 30, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-06-30T10:00:00-04:00 2022-06-30T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (June 30, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788779@events.umich.edu Event Begins: Thursday, June 30, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-06-30T11:00:00-04:00 2022-06-30T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Qualitative Methods: Overview and Semi-Structured Interviewing - Summer Institute in Survey Research Techniques (June 30, 2022 1:00pm) https://events.umich.edu/event/95207 95207-21788993@events.umich.edu Event Begins: Thursday, June 30, 2022 1:00pm
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Qualitative Methods: Overview and Semi-Structured Interviewing

Open for registration!

June 20-30, 2022
1:00pm-3:00pm EST
M-F

This course will focus on semi-structured, or in-depth, interviewing, with a brief introduction to other qualitative methods, including observation. Semi-structured interviewing is often most helpful in understanding complex social processes. We will examine the goals, assumptions, process, and uses of interviewing and compare these methods to other related qualitative and quantitative methods in order to develop research designs appropriate to research goals. The course will cover all aspects of interviewing, including how to decide who to interview, how to ask good interview questions, and how to conduct successful interviews. Students will conduct interviews, and discuss the process and outcome of those interviews. We will examine the strengths and weaknesses of this methodology, particularly through discussion of some of the critiques of these methods.

Course Hour: 1.5

Instructor: Nancy Riley

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:20:57 -0400 2022-06-30T13:00:00-04:00 2022-06-30T15:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Qualitative Methods: Overview and Semi-Structured Interviewing
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (June 30, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786524@events.umich.edu Event Begins: Thursday, June 30, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

]]>
Meeting Tue, 03 May 2022 12:22:15 -0400 2022-06-30T14:00:00-04:00 2022-06-30T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 1, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788836@events.umich.edu Event Begins: Friday, July 1, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-01T10:00:00-04:00 2022-07-01T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (July 1, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788780@events.umich.edu Event Begins: Friday, July 1, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-01T11:00:00-04:00 2022-07-01T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Tuesdays, 9:30-11am) (July 5, 2022 9:30am) https://events.umich.edu/event/94931 94931-21786493@events.umich.edu Event Begins: Tuesday, July 5, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Erin Ware (SRC) and Jon Reader (MADRC)

Expertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:37:05 -0400 2022-07-05T09:30:00-04:00 2022-07-05T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 5, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788946@events.umich.edu Event Begins: Tuesday, July 5, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-05T10:00:00-04:00 2022-07-05T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (July 5, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788784@events.umich.edu Event Begins: Tuesday, July 5, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-05T11:00:00-04:00 2022-07-05T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Tuesdays, 2-3:30pm) (July 5, 2022 2:00pm) https://events.umich.edu/event/94933 94933-21786509@events.umich.edu Event Begins: Tuesday, July 5, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE

]]>
Meeting Wed, 20 Jul 2022 07:38:50 -0400 2022-07-05T14:00:00-04:00 2022-07-05T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 6, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788841@events.umich.edu Event Begins: Wednesday, July 6, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-06T10:00:00-04:00 2022-07-06T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (July 6, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788785@events.umich.edu Event Begins: Wednesday, July 6, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-06T11:00:00-04:00 2022-07-06T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (July 7, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788189@events.umich.edu Event Begins: Thursday, July 7, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-07-07T09:30:00-04:00 2022-07-07T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 7, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788948@events.umich.edu Event Begins: Thursday, July 7, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-07T10:00:00-04:00 2022-07-07T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (July 7, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788786@events.umich.edu Event Begins: Thursday, July 7, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-07T11:00:00-04:00 2022-07-07T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (July 7, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786525@events.umich.edu Event Begins: Thursday, July 7, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

]]>
Meeting Tue, 03 May 2022 12:22:15 -0400 2022-07-07T14:00:00-04:00 2022-07-07T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 8, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788843@events.umich.edu Event Begins: Friday, July 8, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-08T10:00:00-04:00 2022-07-08T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (July 8, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788787@events.umich.edu Event Begins: Friday, July 8, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-08T11:00:00-04:00 2022-07-08T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 11, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788846@events.umich.edu Event Begins: Monday, July 11, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-11T10:00:00-04:00 2022-07-11T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (July 11, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788790@events.umich.edu Event Begins: Monday, July 11, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-11T11:00:00-04:00 2022-07-11T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Tuesdays, 9:30-11am) (July 12, 2022 9:30am) https://events.umich.edu/event/94931 94931-21786494@events.umich.edu Event Begins: Tuesday, July 12, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Erin Ware (SRC) and Jon Reader (MADRC)

Expertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows

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Meeting Wed, 20 Jul 2022 07:37:05 -0400 2022-07-12T09:30:00-04:00 2022-07-12T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 12, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788953@events.umich.edu Event Begins: Tuesday, July 12, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-12T10:00:00-04:00 2022-07-12T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (July 12, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788791@events.umich.edu Event Begins: Tuesday, July 12, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-12T11:00:00-04:00 2022-07-12T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
MCommunity Transformation Project Online Drop-in Office Hours (July 12, 2022 11:30am) https://events.umich.edu/event/95906 95906-21791423@events.umich.edu Event Begins: Tuesday, July 12, 2022 11:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The MCommunity directory, powered by Information and Technology Services (ITS), is getting a major upgrade.

Beginning July 31, a number of enhancements and changes will be available, including a more intuitive and accessible interface, the ability to set personal pronouns, the option to add a name pronunciation with NameCoach, and support for all ITS-supported browsers, devices, and screen sizes. The university community will also have more control over their own profile privacy and a QR code will be available for ease of sharing or adding contact information.

Bring your questions to the MCommunity Transformation online drop-in office hours.

You are invited to a Zoom webinar.
When: Jul 12, 2022 11:30 AM Eastern Time (US and Canada)
Topic: MCommunity Office Hours

Register in advance for this webinar:
https://umich.zoom.us/webinar/register/WN_PsTPBS7jSwqJbJJqHD6zUg. After registering, you will receive a confirmation email containing information about joining the webinar.

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Meeting Wed, 06 Jul 2022 07:20:34 -0400 2022-07-12T11:30:00-04:00 2022-07-12T13:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting MCommunity is getting an upgrade on July 31! You may add your pronouns, a profile photo, and preferred name! Manage your profile privacy settings too.
CoderSpaces, Virtual Office Hours (Tuesdays, 2-3:30pm) (July 12, 2022 2:00pm) https://events.umich.edu/event/94933 94933-21786510@events.umich.edu Event Begins: Tuesday, July 12, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE

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Meeting Wed, 20 Jul 2022 07:38:50 -0400 2022-07-12T14:00:00-04:00 2022-07-12T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Interventions in a Responsive Survey Design Framework-Part 1- Responsive Survey Design: A Research Education Program - Summer Institute in Survey Research Techniques (July 13, 2022 9:00am) https://events.umich.edu/event/95464 95464-21789949@events.umich.edu Event Begins: Wednesday, July 13, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Interventions in a Responsive Survey Design Framework-Part 1

Webinar open for registration!

July 13, 2022
9:00am-1:00pm
W

This first webinar in a two-part series on implementing interventions in a responsive design framework will discuss a variety of potential RSD interventions. Many of these have been implemented experimentally, and the course will include evaluations of those experiments. The importance of experimental evaluations in early phases of RSD will be discussed. Methods for implementing interventions will also be discussed, including implementation of experiments aimed at evaluating new interventions. Strategies for implementing these interventions with both interviewer-mediated and self-administered (e.g., web and mail) surveys will be discussed. Methods for the evaluation of the results of the interventions (experimental and otherwise) will be considered. These evaluations will include measures of both costs and errors.

Not for academic credit.

Instructor: Brady T. West

All 2022 courses will be held in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 16:24:20 -0400 2022-07-13T09:00:00-04:00 2022-07-13T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 13, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788848@events.umich.edu Event Begins: Wednesday, July 13, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-13T10:00:00-04:00 2022-07-13T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (July 13, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788792@events.umich.edu Event Begins: Wednesday, July 13, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-13T11:00:00-04:00 2022-07-13T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (July 14, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788190@events.umich.edu Event Begins: Thursday, July 14, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

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Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-07-14T09:30:00-04:00 2022-07-14T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 14, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788955@events.umich.edu Event Begins: Thursday, July 14, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-14T10:00:00-04:00 2022-07-14T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (July 14, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788793@events.umich.edu Event Begins: Thursday, July 14, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-14T11:00:00-04:00 2022-07-14T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (July 14, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786526@events.umich.edu Event Begins: Thursday, July 14, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

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Meeting Tue, 03 May 2022 12:22:15 -0400 2022-07-14T14:00:00-04:00 2022-07-14T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 15, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788850@events.umich.edu Event Begins: Friday, July 15, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-15T10:00:00-04:00 2022-07-15T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (July 15, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788794@events.umich.edu Event Begins: Friday, July 15, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-15T11:00:00-04:00 2022-07-15T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 18, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788853@events.umich.edu Event Begins: Monday, July 18, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-18T10:00:00-04:00 2022-07-18T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (July 18, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788797@events.umich.edu Event Begins: Monday, July 18, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-18T11:00:00-04:00 2022-07-18T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Tuesdays, 9:30-11am) (July 19, 2022 9:30am) https://events.umich.edu/event/94931 94931-21786495@events.umich.edu Event Begins: Tuesday, July 19, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Erin Ware (SRC) and Jon Reader (MADRC)

Expertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:37:05 -0400 2022-07-19T09:30:00-04:00 2022-07-19T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 19, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788960@events.umich.edu Event Begins: Tuesday, July 19, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-19T10:00:00-04:00 2022-07-19T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (July 19, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788798@events.umich.edu Event Begins: Tuesday, July 19, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-19T11:00:00-04:00 2022-07-19T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Tuesdays, 2-3:30pm) (July 19, 2022 2:00pm) https://events.umich.edu/event/94933 94933-21786511@events.umich.edu Event Begins: Tuesday, July 19, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE

]]>
Meeting Wed, 20 Jul 2022 07:38:50 -0400 2022-07-19T14:00:00-04:00 2022-07-19T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Data Visualization for Active Monitoring-Part 2 - Responsive Survey Design: A Research Education Program - Summer Institute in Survey Research Techniques (July 20, 2022 9:00am) https://events.umich.edu/event/95468 95468-21789953@events.umich.edu Event Begins: Wednesday, July 20, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Data Visualization for Active Monitoring-Part 2

Webinar open for registration!

July 20, 2022
9:00am-1:00pm
W

This second webinar in a two-part webinar series on data visualization for production monitoring will demonstrate concepts from the first webinar using examples from actual dashboards. We will briefly explore methods for modeling incoming paradata in order to detect outliers. We will then consider practical issues associated with the development of dashboards, including software alternatives. Finally, we will demonstrate how to update dashboards using data reflecting the results of ongoing fieldwork. Participants will be provided with template spreadsheet dashboards for their own applications.

Not for academic credit.

Instructors: Brad Edwards & Victoria Vignare

All 2022 courses will be held in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 16:41:12 -0400 2022-07-20T09:00:00-04:00 2022-07-20T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Responsive Survey Design: A Research Education Program
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 20, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788855@events.umich.edu Event Begins: Wednesday, July 20, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-20T10:00:00-04:00 2022-07-20T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (July 20, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788799@events.umich.edu Event Begins: Wednesday, July 20, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-20T11:00:00-04:00 2022-07-20T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Clinical Simulation Center Lunch and Learn (July 20, 2022 12:00pm) https://events.umich.edu/event/95923 95923-21791439@events.umich.edu Event Begins: Wednesday, July 20, 2022 12:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Dr. Owens' team helped to develop the Stanford Virtual Heart (SVH), a virtual reality curriculum to teach normal cardiac anatomy as well as 6 basic congenital heart defects (CHDs). Multi-center prospective studies have shown that the SVH improves pediatric residents' as well as medical students' knowledge on CHDs. Future initiatives include developing a virtual reality curriculum for more complex lesions (such as hypoplastic left heart syndrome).

Join her presentation and subsequent discussion on Zoom.

Join Zoom Meeting:
https://umich.zoom.us/j/98458273274?pwd=MXJTTWdFaURHa3d4NE5XNjd2YmVMUT09

Meeting ID: 984 5827 3274
Passcode: 1111

One tap mobile
+16468769923,,98458273274#

Dial by your location
+1 646 876 9923
Meeting ID: 984 5827 3274
Passcode: 1111
Find your local number: https://umich.zoom.us/u/ad8qCm9Q22

]]>
Presentation Thu, 07 Jul 2022 15:11:10 -0400 2022-07-20T12:00:00-04:00 2022-07-20T13:00:00-04:00 Off Campus Location Department of Learning Health Sciences Presentation Picture source: https://www.stanfordchildrens.org/en/innovation/virtual-reality/stanford-virtual-heart
CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (July 21, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788191@events.umich.edu Event Begins: Thursday, July 21, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-07-21T09:30:00-04:00 2022-07-21T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 21, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788962@events.umich.edu Event Begins: Thursday, July 21, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-21T10:00:00-04:00 2022-07-21T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (July 21, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788800@events.umich.edu Event Begins: Thursday, July 21, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-21T11:00:00-04:00 2022-07-21T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (July 21, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786527@events.umich.edu Event Begins: Thursday, July 21, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

]]>
Meeting Tue, 03 May 2022 12:22:15 -0400 2022-07-21T14:00:00-04:00 2022-07-21T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 22, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788857@events.umich.edu Event Begins: Friday, July 22, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-22T10:00:00-04:00 2022-07-22T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (July 22, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788801@events.umich.edu Event Begins: Friday, July 22, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-22T11:00:00-04:00 2022-07-22T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Design and Implementation of Web Surveys - Summer Institute in Survey Research Techniques (July 25, 2022 9:00am) https://events.umich.edu/event/95712 95712-21790769@events.umich.edu Event Begins: Monday, July 25, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Design and Implementation of Web Surveys

Course open for registration!
Open to all!

July 25-29, 2022
9:00am-1:00pm,
M/T/W/Th/F

his one-week course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users’ (respondents’) experience while interacting with the web-based instrument. Students will also develop basic plans for data collection and analysis. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class.

Why take this course?

· To gain an understanding of what should go into creating a web-based questionnaire

· To gain experience weighing the pros and cons of different web questionnaire features

· To gain experience building a web questionnaire on a standard platform

· To gain experience evaluating survey questions and their usability in an online questionnaire

Not for academic credit

Instructors: Frederick Conrad, Florian Keusch and Christopher Antoun

All 2022 courses will we held in an alternative remote format.
,

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Class / Instruction Mon, 20 Jun 2022 14:26:09 -0400 2022-07-25T09:00:00-04:00 2022-07-25T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Design and Implementation of Web Surveys
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 25, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788860@events.umich.edu Event Begins: Monday, July 25, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-25T10:00:00-04:00 2022-07-25T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 25, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788966@events.umich.edu Event Begins: Monday, July 25, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-25T10:00:00-04:00 2022-07-25T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (July 25, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788804@events.umich.edu Event Begins: Monday, July 25, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-25T11:00:00-04:00 2022-07-25T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Design and Implementation of Web Surveys - Summer Institute in Survey Research Techniques (July 26, 2022 9:00am) https://events.umich.edu/event/95712 95712-21790770@events.umich.edu Event Begins: Tuesday, July 26, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Design and Implementation of Web Surveys

Course open for registration!
Open to all!

July 25-29, 2022
9:00am-1:00pm,
M/T/W/Th/F

his one-week course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users’ (respondents’) experience while interacting with the web-based instrument. Students will also develop basic plans for data collection and analysis. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class.

Why take this course?

· To gain an understanding of what should go into creating a web-based questionnaire

· To gain experience weighing the pros and cons of different web questionnaire features

· To gain experience building a web questionnaire on a standard platform

· To gain experience evaluating survey questions and their usability in an online questionnaire

Not for academic credit

Instructors: Frederick Conrad, Florian Keusch and Christopher Antoun

All 2022 courses will we held in an alternative remote format.
,

]]>
Class / Instruction Mon, 20 Jun 2022 14:26:09 -0400 2022-07-26T09:00:00-04:00 2022-07-26T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Design and Implementation of Web Surveys
CoderSpaces, Virtual Office Hours (Tuesdays, 9:30-11am) (July 26, 2022 9:30am) https://events.umich.edu/event/94931 94931-21786496@events.umich.edu Event Begins: Tuesday, July 26, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Erin Ware (SRC) and Jon Reader (MADRC)

Expertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:37:05 -0400 2022-07-26T09:30:00-04:00 2022-07-26T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 26, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788967@events.umich.edu Event Begins: Tuesday, July 26, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-26T10:00:00-04:00 2022-07-26T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (July 26, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788805@events.umich.edu Event Begins: Tuesday, July 26, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-26T11:00:00-04:00 2022-07-26T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
BusinessObjects 4.3 Training (July 26, 2022 1:00pm) https://events.umich.edu/event/96240 96240-21792158@events.umich.edu Event Begins: Tuesday, July 26, 2022 1:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Do you have questions about the upcoming changes to BusinessObjects? Save time for one of our live webinars to hear about the upgrade impacts and to get a preview of the upgraded system, including demonstrations of the system’s new look and feel along with some new features. The demonstrations will cover the new UI, running reports, creating reports, and exporting data.

Opportunities will be available during the webinar to ask questions.

]]>
Class / Instruction Mon, 25 Jul 2022 09:42:59 -0400 2022-07-26T13:00:00-04:00 2022-07-26T17:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Class / Instruction
CoderSpaces, Virtual Office Hours (Tuesdays, 2-3:30pm) (July 26, 2022 2:00pm) https://events.umich.edu/event/94933 94933-21786512@events.umich.edu Event Begins: Tuesday, July 26, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE

]]>
Meeting Wed, 20 Jul 2022 07:38:50 -0400 2022-07-26T14:00:00-04:00 2022-07-26T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Design and Implementation of Web Surveys - Summer Institute in Survey Research Techniques (July 27, 2022 9:00am) https://events.umich.edu/event/95712 95712-21790771@events.umich.edu Event Begins: Wednesday, July 27, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Design and Implementation of Web Surveys

Course open for registration!
Open to all!

July 25-29, 2022
9:00am-1:00pm,
M/T/W/Th/F

his one-week course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users’ (respondents’) experience while interacting with the web-based instrument. Students will also develop basic plans for data collection and analysis. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class.

Why take this course?

· To gain an understanding of what should go into creating a web-based questionnaire

· To gain experience weighing the pros and cons of different web questionnaire features

· To gain experience building a web questionnaire on a standard platform

· To gain experience evaluating survey questions and their usability in an online questionnaire

Not for academic credit

Instructors: Frederick Conrad, Florian Keusch and Christopher Antoun

All 2022 courses will we held in an alternative remote format.
,

]]>
Class / Instruction Mon, 20 Jun 2022 14:26:09 -0400 2022-07-27T09:00:00-04:00 2022-07-27T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Design and Implementation of Web Surveys
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 27, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788862@events.umich.edu Event Begins: Wednesday, July 27, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-27T10:00:00-04:00 2022-07-27T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (July 27, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788806@events.umich.edu Event Begins: Wednesday, July 27, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-27T11:00:00-04:00 2022-07-27T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
Design and Implementation of Web Surveys - Summer Institute in Survey Research Techniques (July 28, 2022 9:00am) https://events.umich.edu/event/95712 95712-21790772@events.umich.edu Event Begins: Thursday, July 28, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Design and Implementation of Web Surveys

Course open for registration!
Open to all!

July 25-29, 2022
9:00am-1:00pm,
M/T/W/Th/F

his one-week course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users’ (respondents’) experience while interacting with the web-based instrument. Students will also develop basic plans for data collection and analysis. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class.

Why take this course?

· To gain an understanding of what should go into creating a web-based questionnaire

· To gain experience weighing the pros and cons of different web questionnaire features

· To gain experience building a web questionnaire on a standard platform

· To gain experience evaluating survey questions and their usability in an online questionnaire

Not for academic credit

Instructors: Frederick Conrad, Florian Keusch and Christopher Antoun

All 2022 courses will we held in an alternative remote format.
,

]]>
Class / Instruction Mon, 20 Jun 2022 14:26:09 -0400 2022-07-28T09:00:00-04:00 2022-07-28T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Design and Implementation of Web Surveys
CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (July 28, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788192@events.umich.edu Event Begins: Thursday, July 28, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-07-28T09:30:00-04:00 2022-07-28T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Methods of Survey Sampling - Summer Institute in Survey Research Techniques (July 28, 2022 10:00am) https://events.umich.edu/event/95203 95203-21788969@events.umich.edu Event Begins: Thursday, July 28, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Methods of Survey Sampling

Open for registration!

June 6 - July 29, 2022
10:00am-12:30pm EST
T/Th

A fundamental feature of many sample surveys is a probability sample of subjects. Probability sampling requires rigorous application of mathematical principles to the selection process. Methods of Survey Sampling is a moderately advanced course in applied statistics, with an emphasis on the practical problems of sample design, which provides students with an understanding of principles and practice in skills required to select subjects and analyze sample data. Topics covered include stratified, clustered, systematic, and multi-stage sample designs, unequal probabilities and probabilities proportional to size, area probability sampling, ratio means, sampling errors, frame problems, cost factors, and practical designs and procedures. Emphasis is on practical considerations rather than on theoretical derivations, although understanding of principles requires review of statistical results for sample surveys. The course includes an exercise that integrates the different techniques into a comprehensive sample design.

Why take this course?
- To understand the basic ideas, concepts and principles of probability sampling from an applied perspective
- To be able to identify and appropriately apply sampling techniques to survey design problems
- To be able to compute the sample size for a variety of sample designs
- To understand and be able to assess the impact of the sample design on survey estimates
- To learn how to design and select a probability sample involving complex sampling techniques in a survey project, and receive expert feedback on a sampling report

Course Hours: 3

Instructors: Raphael Nishimura, Sunghee Lee

Prerequisite: Two graduate-level courses in statistical methods.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:16:03 -0400 2022-07-28T10:00:00-04:00 2022-07-28T12:30:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Methods of Survey Sampling
Summer Institute in Survey Research Techniques (July 28, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788807@events.umich.edu Event Begins: Thursday, July 28, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-28T11:00:00-04:00 2022-07-28T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (July 28, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786528@events.umich.edu Event Begins: Thursday, July 28, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

]]>
Meeting Tue, 03 May 2022 12:22:15 -0400 2022-07-28T14:00:00-04:00 2022-07-28T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
Design and Implementation of Web Surveys - Summer Institute in Survey Research Techniques (July 29, 2022 9:00am) https://events.umich.edu/event/95712 95712-21790773@events.umich.edu Event Begins: Friday, July 29, 2022 9:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Design and Implementation of Web Surveys

Course open for registration!
Open to all!

July 25-29, 2022
9:00am-1:00pm,
M/T/W/Th/F

his one-week course introduces students to the design and implementation of online survey data collection instruments. The course is both hands-on and conceptual. It begins by discussing what is unique about web surveys and when their use is most appropriate, followed by an introduction to survey errors that can affect the quality of web survey data. Small groups of students will each develop a research problem and a questionnaire to address their problem, designed for online administration. They will pretest the question wording, program the questionnaire using a web survey development platform (no programming experience is required), and assess users’ (respondents’) experience while interacting with the web-based instrument. Students will also develop basic plans for data collection and analysis. Finally, each group will present its problem, online questionnaire, evaluation, and plans to the rest of the class.

Why take this course?

· To gain an understanding of what should go into creating a web-based questionnaire

· To gain experience weighing the pros and cons of different web questionnaire features

· To gain experience building a web questionnaire on a standard platform

· To gain experience evaluating survey questions and their usability in an online questionnaire

Not for academic credit

Instructors: Frederick Conrad, Florian Keusch and Christopher Antoun

All 2022 courses will we held in an alternative remote format.
,

]]>
Class / Instruction Mon, 20 Jun 2022 14:26:09 -0400 2022-07-29T09:00:00-04:00 2022-07-29T13:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Design and Implementation of Web Surveys
Analysis of Complex Sample Survey Data - Summer Institute in Survey Research Techniques (July 29, 2022 10:00am) https://events.umich.edu/event/95202 95202-21788864@events.umich.edu Event Begins: Friday, July 29, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Analysis of Complex Sample Survey Data

Open for registration!

June 6 - July 29, 2022
10:00am-12:00pm
M/W/F

This course provides practical methods and tools to analyze complex survey data with a hands-on introduction to the use of specialized statistical software procedures. The course focuses on case studies with specific large-scale national surveys: the National Comorbidity Survey-Replication (NCS-R), the National Health and Nutrition Examination Surveys (NHANES), and the Health and Retirement Study (HRS). Relevant design features of the NCS-R, NHANES and HRS include survey weights that take into account differences in probability of selection into the sample and differences in response rates, as well as stratification and clustering in the multistage sampling procedures used in identifying the sampled households and individuals. After introducing essential concepts related to complex sample designs, the course will turn to the construction of survey weights, estimation of sampling variance, descriptive analysis, regression analysis, and finally special topics in the analysis of survey data. Participants can expect to work on homework exercises, computer lab exercises, and a final analysis project.

Why take this course?
- To gain an understanding of modern methods and software for the secondary analysis of survey data collected from large complex samples
- To have the opportunity for one-on-one interaction with the instructors when walking through analyses of survey data
- To see various examples of applied statistical analyses of survey data
- To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper.

Course Hours: 3

Instructors: Brady T. West, Yajuan Si

Prerequisite: Two graduate-level courses in statistical methods, familiarity with basic sample design concepts, and familiarity with data analytic techniques such as linear and logistic regression.

All 2022 courses will be offered in an alternative remote format.

]]>
Class / Instruction Mon, 06 Jun 2022 10:15:08 -0400 2022-07-29T10:00:00-04:00 2022-07-29T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Analysis of Complex Sample Survey Data
Summer Institute in Survey Research Techniques (July 29, 2022 11:00am) https://events.umich.edu/event/95200 95200-21788808@events.umich.edu Event Begins: Friday, July 29, 2022 11:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Open for registration!

The Summer Institute offers courses on (1) research design and sample selection, (2) measurement, (3) qualitative methods in survey research design, (4) data collection, and (5) analysis.

Multi-week courses provide more in-depth coverage of a topic, include readings, homework, and examinations, and often providing participants with an opportunity to practice survey techniques. One-week courses give an overview of a methodology topic, including readings and homework. One-day workshops are offered for those who need to learn a specific technique or method in a short period of time.

All 2022 courses will be offered in an alternative remote format.

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Class / Instruction Thu, 19 May 2022 12:58:17 -0400 2022-07-29T11:00:00-04:00 2022-07-29T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction Summer Institute in Survey Research Techniques. Courses and Workshops
CoderSpaces, Virtual Office Hours (Tuesdays, 9:30-11am) (August 2, 2022 9:30am) https://events.umich.edu/event/94931 94931-21786497@events.umich.edu Event Begins: Tuesday, August 2, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Erin Ware (SRC) and Jon Reader (MADRC)

Expertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows

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Meeting Wed, 20 Jul 2022 07:37:05 -0400 2022-08-02T09:30:00-04:00 2022-08-02T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Tuesdays, 2-3:30pm) (August 2, 2022 2:00pm) https://events.umich.edu/event/94933 94933-21786513@events.umich.edu Event Begins: Tuesday, August 2, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE

]]>
Meeting Wed, 20 Jul 2022 07:38:50 -0400 2022-08-02T14:00:00-04:00 2022-08-02T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (August 4, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788193@events.umich.edu Event Begins: Thursday, August 4, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-08-04T09:30:00-04:00 2022-08-04T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (August 4, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786529@events.umich.edu Event Begins: Thursday, August 4, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

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Meeting Tue, 03 May 2022 12:22:15 -0400 2022-08-04T14:00:00-04:00 2022-08-04T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
BusinessObjects 4.3 Training (August 9, 2022 9:00am) https://events.umich.edu/event/96240 96240-21792159@events.umich.edu Event Begins: Tuesday, August 9, 2022 9:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Do you have questions about the upcoming changes to BusinessObjects? Save time for one of our live webinars to hear about the upgrade impacts and to get a preview of the upgraded system, including demonstrations of the system’s new look and feel along with some new features. The demonstrations will cover the new UI, running reports, creating reports, and exporting data.

Opportunities will be available during the webinar to ask questions.

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Class / Instruction Mon, 25 Jul 2022 09:42:59 -0400 2022-08-09T09:00:00-04:00 2022-08-09T13:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Class / Instruction
CoderSpaces, Virtual Office Hours (Tuesdays, 9:30-11am) (August 9, 2022 9:30am) https://events.umich.edu/event/94931 94931-21786498@events.umich.edu Event Begins: Tuesday, August 9, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Erin Ware (SRC) and Jon Reader (MADRC)

Expertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:37:05 -0400 2022-08-09T09:30:00-04:00 2022-08-09T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
ITS Teaching & Learning 2022 Summit (August 9, 2022 12:00pm) https://events.umich.edu/event/96324 96324-21792269@events.umich.edu Event Begins: Tuesday, August 9, 2022 12:00pm
Location: Weiser Hall
Organized By: Information and Technology Services (ITS)

Join us for the two day ITS Teaching & Learning 2022 Summit on Tuesday, August 9, and Wednesday, August 10, Noon–5 p.m. each day. This hybrid event will be at 1010 Weiser Hall and open to all U-M staff and faculty. Explore new and existing educational technology tools available at U-M and take advantage of this opportunity to exchange ideas with colleagues from across the university. Lunch, swag, and sessions will be provided for in-person attendees and online participants will join via Kaltura’s new Events Platform site, which we are piloting for this summit.

REGISTER
-------------------
Please register separately for each day of the summit you would like to attend. In-person attendees need to register by end of the day, August 4, to ensure they will receive lunch on the day of the event.

Tuesday, August 9 MiVideo Summit Registration
- https://mivideo.events.kaltura.com/register
Wednesday, August 10 Canvas/Instructional Technology Summit Registration
- https://teachingandlearning.events.kaltura.com/register

Visit the ITS Teaching & Learning 2022 Summit website for more information and an agenda summary. We will be offering lunch and light refreshments. We ask that you register for each day’s event so we can get an accurate count of the food order.

]]>
Conference / Symposium Thu, 28 Jul 2022 15:53:51 -0400 2022-08-09T12:00:00-04:00 2022-08-09T17:00:00-04:00 Weiser Hall Information and Technology Services (ITS) Conference / Symposium ITS Teaching & Learning 2022 Summit Banner
CoderSpaces, Virtual Office Hours (Tuesdays, 2-3:30pm) (August 9, 2022 2:00pm) https://events.umich.edu/event/94933 94933-21786514@events.umich.edu Event Begins: Tuesday, August 9, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE

]]>
Meeting Wed, 20 Jul 2022 07:38:50 -0400 2022-08-09T14:00:00-04:00 2022-08-09T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
ITS Teaching & Learning 2022 Summit (August 10, 2022 12:00pm) https://events.umich.edu/event/96324 96324-21792270@events.umich.edu Event Begins: Wednesday, August 10, 2022 12:00pm
Location: Weiser Hall
Organized By: Information and Technology Services (ITS)

Join us for the two day ITS Teaching & Learning 2022 Summit on Tuesday, August 9, and Wednesday, August 10, Noon–5 p.m. each day. This hybrid event will be at 1010 Weiser Hall and open to all U-M staff and faculty. Explore new and existing educational technology tools available at U-M and take advantage of this opportunity to exchange ideas with colleagues from across the university. Lunch, swag, and sessions will be provided for in-person attendees and online participants will join via Kaltura’s new Events Platform site, which we are piloting for this summit.

REGISTER
-------------------
Please register separately for each day of the summit you would like to attend. In-person attendees need to register by end of the day, August 4, to ensure they will receive lunch on the day of the event.

Tuesday, August 9 MiVideo Summit Registration
- https://mivideo.events.kaltura.com/register
Wednesday, August 10 Canvas/Instructional Technology Summit Registration
- https://teachingandlearning.events.kaltura.com/register

Visit the ITS Teaching & Learning 2022 Summit website for more information and an agenda summary. We will be offering lunch and light refreshments. We ask that you register for each day’s event so we can get an accurate count of the food order.

]]>
Conference / Symposium Thu, 28 Jul 2022 15:53:51 -0400 2022-08-10T12:00:00-04:00 2022-08-10T17:00:00-04:00 Weiser Hall Information and Technology Services (ITS) Conference / Symposium ITS Teaching & Learning 2022 Summit Banner
CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (August 11, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788194@events.umich.edu Event Begins: Thursday, August 11, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-08-11T09:30:00-04:00 2022-08-11T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (August 11, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786530@events.umich.edu Event Begins: Thursday, August 11, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

]]>
Meeting Tue, 03 May 2022 12:22:15 -0400 2022-08-11T14:00:00-04:00 2022-08-11T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Tuesdays, 9:30-11am) (August 16, 2022 9:30am) https://events.umich.edu/event/94931 94931-21786499@events.umich.edu Event Begins: Tuesday, August 16, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Erin Ware (SRC) and Jon Reader (MADRC)

Expertise at this session includes: automation of tasks & workflows, Bash, bioinformatics, conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, GitLab, GNU Make, high performance computing (HPC), LaTeX, Linux, machine learning, macOS, natural language processing, pandas, PySpark, Python, Python Requests, Python Selenium, R, R Markdown, R tidyverse, REDCap, SAS, social sciences, SPSS, SQL, statistics, survey data, text analysis, time-series analysis, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:37:05 -0400 2022-08-16T09:30:00-04:00 2022-08-16T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Tuesdays, 2-3:30pm) (August 16, 2022 2:00pm) https://events.umich.edu/event/94933 94933-21786515@events.umich.edu Event Begins: Tuesday, August 16, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/98917021399)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Charles Antonelli (LSA Tech), Jonathan Golob (Division of Infectious Disease), and Shelly Johnson (ARC)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, CMake, conda (anaconda/miniconda), CUDA, Fortran, git, GitHub, GitLab, GNU Make, Google Cloud Platform, GPU, HDF5, high performance computing (HPC), Julia, LaTeX, Linux, Lmod modules, macOS, MATLAB, MPI, NVIDIA, OpenACC, OpenMP, pandas, parallelization, performance analysis, Perl, Python, Python BeautifulSoup, Python Requests, Python Selenium, R, R devtools, Rcpp, SLURM, software compilation & installation on Linux, software development, tensorflow, test-driven development, venv, web scraping, XSEDE

]]>
Meeting Wed, 20 Jul 2022 07:38:50 -0400 2022-08-16T14:00:00-04:00 2022-08-16T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Thursdays, 9:30-11am) (August 18, 2022 9:30am) https://events.umich.edu/event/94979 94979-21788195@events.umich.edu Event Begins: Thursday, August 18, 2022 9:30am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/93123907853)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Huchen Liu (PDHP/ISR), Kelly Sovacool (DCMB), and Paul Schulz (PDHP/ISR)

Expertise at this session includes: Amazon Web Services (AWS), ARC Armis, ARC Great Lakes, automation of tasks & workflows, Bash, bash shell scripting, bioinformatics, C , conda (anaconda/miniconda), data analysis, data management, data visualization, git, GitHub, Google Cloud Platform, HDF5, high performance computing (HPC), JavaScript, LaTeX, Linux, machine learning, macOS, mamba, microbiome, Nextflow, package development, pandas, parallelization, performance analysis, Python, Python Requests, R, R devtools, R Markdown, R tidyverse, REDCap, SAS, SLURM, Snakemake, social sciences, software compilation & installation on Linux, software development, SPSS, SQL, Stata, statistics, survey data, test-driven development, text analysis, time-series analysis, unit testing, venv, web scraping, Windows

]]>
Meeting Wed, 20 Jul 2022 07:39:53 -0400 2022-08-18T09:30:00-04:00 2022-08-18T11:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
CoderSpaces, Virtual Office Hours (Thursdays, 2-3:30pm) (August 18, 2022 2:00pm) https://events.umich.edu/event/94934 94934-21786531@events.umich.edu Event Begins: Thursday, August 18, 2022 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Are you grappling with a piece of code, trying to compute on a University cluster, or just getting started with a new method such as machine learning? Then we might have just the right space for you.

All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays and Thursdays, during the Summer 2022 term to get research support and connect with others.

The virtual sessions are designed to assist faculty, staff, and students with research methodology, statistics, data science applications, and computational programming for research.

Our hosts have a wide set of methodological and technological expertise. They come to you from a variety of departments and disciplines and are looking forward to serving the U-M community in their research endeavors.

CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.

Join via Zoom* (https://umich.zoom.us/j/96475145533)
*Users will have to sign in with their UMICH (Level-1) credentials.

With Bennet Fauber (ARC), Meghan Dailey (ARC), Sara Lafia (ICPSR)

Expertise at this session includes: ARC Armis, ARC Great Lakes, Bash, bash shell scripting, C , C++, conda (anaconda/miniconda), CUDA, data analysis, data management, data visualization, git, GitHub, GitLab, GPU, high performance computing (HPC), Java, keras, Linux, Lmod modules, machine learning, macOS, MATLAB, natural language processing, pandas, Python, SLURM, social sciences, software compilation & installation on Linux, software development, spatial data analysis, Stata, tensorflow, text analysis, Windows

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Meeting Tue, 03 May 2022 12:22:15 -0400 2022-08-18T14:00:00-04:00 2022-08-18T15:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Meeting CoderSpaces, virtual, drop-in office hours, will give you hands-on help from experts all across campus. All are welcome.
New Quizzes - Join the future of quizzing in Canvas! (August 31, 2022 12:00pm) https://events.umich.edu/event/97760 97760-21795099@events.umich.edu Event Begins: Wednesday, August 31, 2022 12:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

ABOUT THIS WORKSHOP
Instructure has set a timeline for New Quizzes to become the native quizzing engine, within U-M’s Canvas LMS instance, and retire Classic Quizzes by June 2024. Beginning in May 2023 Classic Quizzes will no longer allow users to create or edit quizzes. This is a significant change and we want to keep U-M faculty and staff informed as we prepare for the transition from Classic Quizzes to New Quizzes, to ensure a seamless migration experience.

This exciting workshop will enable you to understand and use new quizzes and migrate away from classic quizzes. In this session, you will learn the new quiz options (Hot Spot, Catergorization, and Stimulus questions) as well as the differences between the classic quizzes and some of the nuances.

- Overview of the migration project
- Defining Features of New Quizzes
- Preview of a New Quiz (student perspective)
- Building New Quizzes questions
- Previewing Quizzes
- Quiz Settings
- Moderating Quizzes

Level: Beginner
Trainer: Monica Hickson

The ITS Teaching Online Technique Training Workshops are available to help you prepare for teaching online, in person, hybrid, or HyFlex.

Find detailed training information on this and additional workshops, including on-demand recordings, on the ITS Training website: https://its.umich.edu/training/canvas

Join all ITS training sessions in this series via the following Zoom URL for all workshops: https://umich.zoom.us/j/96810579762

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Workshop / Seminar Tue, 30 Aug 2022 16:56:03 -0400 2022-08-31T12:00:00-04:00 2022-08-31T13:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar New Quizzes - Join the future of quizzing in Canvas!
Spark Engagement with Adobe Creative Cloud Express (September 1, 2022 10:00am) https://events.umich.edu/event/97761 97761-21795100@events.umich.edu Event Begins: Thursday, September 1, 2022 10:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

ABOUT THIS WORKSHOP
This workshop provides participants with student engagement strategies alongside an introduction to an easy-to-use graphics tool called Adobe Creative Cloud Express.

- Explore Adobe Creative Cloud Express, an integrated suite of media creation applications for mobile and web. Users can create Creative Cloud Express Web Pages (presentations), Creative Cloud Express Posts, and Creative Cloud Express Videos
- Learn the 3 types of Student Interactions (student-content, student-student, student-instructor) and how you can use Adobe Creative Cloud Express with these interactions
- Review of the 4 Principles of Engagement and how to apply these principles with - - Adobe Creative Cloud Express
- Learn strategies to keep students engaged online
- Create your own engagement plan

Level: Beginner
Trainer: Angela Marocco

The ITS Teaching Online Technique Training Workshops are available to help you prepare for teaching online, in person, hybrid, or HyFlex.

Find detailed training information on this and additional workshops, including on-demand recordings, on the ITS Training website: https://its.umich.edu/training/canvas

Join all ITS training sessions in this series via the following Zoom URL for all workshops: https://umich.zoom.us/j/96810579762

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Workshop / Seminar Tue, 30 Aug 2022 16:57:06 -0400 2022-09-01T10:00:00-04:00 2022-09-01T11:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar Spark Engagement with Adobe Creative Cloud Express
Managing Your Canvas Gradebook (September 1, 2022 12:00pm) https://events.umich.edu/event/97762 97762-21795101@events.umich.edu Event Begins: Thursday, September 1, 2022 12:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

This workshop will guide participants on how to manage their Canvas Gradebook and Speedgrader throughout the term. This workshop will also cover how to finalize a Gradebook at the end of the term.

- Using Speedgrader
- Using the New Speedgrader’s Comment Library
- New Submissions Reassignment Feature
- Hiding Scores While Grading in New Quizzes
- Finalizing your gradebook
- Importing grades into Wolverine Access
- Canvas Rubrics

Level: Beginner
Trainer: Nargas Oskui


The ITS Teaching Online Technique Training Workshops are available to help you prepare for teaching online, in person, hybrid, or HyFlex.

Find detailed training information on this and additional workshops, including on-demand recordings, on the ITS Training website: https://its.umich.edu/training/canvas

Join all ITS training sessions in this series via the following Zoom URL for all workshops: https://umich.zoom.us/j/96810579762

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Workshop / Seminar Tue, 30 Aug 2022 16:55:31 -0400 2022-09-01T12:00:00-04:00 2022-09-01T13:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar Managing Your Canvas Gradebook
MIDAS Research Pitches and Welcome Social (September 6, 2022 2:00pm) https://events.umich.edu/event/97500 97500-21794661@events.umich.edu Event Begins: Tuesday, September 6, 2022 2:00pm
Location: Weiser Hall
Organized By: Michigan Institute for Data Science

Start the fall semester with this social event for the U-M data science and AI research community! Find out about exciting data science research that is happening at U-M, explore collaboration opportunities and student research opportunities. A number of junior faculty members and faculty new to U-M will each give a 3-minute lightning talk, and there will be ample networking time. Refreshments provided. All U-M faculty, staff and students are welcome to attend.

Register To Attend
https://forms.gle/JuRdZvV57bKpo4Ri9

Faculty Presenters (in alphabetical order):
Dr. Omar Ahmed
Assistant Professor, Psychology, LSA
Research Focus: Recording and analysis of massive volumes of neural data to understand, predict and treat neuropsychiatric disorders

Dr. Raed Al Kontar
Assistant Professor, Industrial & Operations Engineering, College of Engineering
Research Focus: Federated and distributed data analytics

Dr. Karen Alofs
Assistant Professor, School for Environment and Sustainability
Research Focus: Fish ecology and environmental change using historical data, museum specimens, field surveys, lab experiments and models

Dr. Lia Corrales
Assistant Professor, Astronomy, LSA
Research Focus: Data driven techniques for exoplanet detection in the NUV; data driven X-ray imaging techniques

Dr. Walter Dempsey
Assistant Professor, Biostatistics, School of Public Health
Research Focus: Data analytic methods in mobile and digital health

Dr. Ben Fish
Assistant Professor, Computer Science and Engineering, College of Engineering
Research Focus: Foundations of the social consequences of computing, particularly discrimination in machine learning

Dr. Edgar Franco Vivianco
Assistant Professor, Political Science, LSA
Research Focus: Handwritten text recognition models to analyze a corpus of interactions of Latin American colonial documents with the objective to analyze interactions of indigenous communities with the colonial state, the strategies they employed to resist exploitation, and their engagement with the legal system

Dr. Ben Green
Assistant Professor, Ford School of Public Policy
Research Focus: Design and ethics of government algorithms, with a focus on algorithmic fairness, human-algorithm interactions, and AI regulation

Dr. Amie Gordon
Assistant Professor, Psychology, LSA
Research Focus: Health and well-being in the context of close relationships utilizing experimental, observational, survey, dyadic, daily experience, longitudinal, and physiological methods.

Dr. Xun Huan
Assistant Professor, Mechanical Engineering, College of Engineering
Research Focus: Methods and algorithms of Bayesian computation and their applications in the areas of engineering and healthcare

Dr. Rahul Ladhania
Assistant Professor, School of Public Health
Research Focus: Machine Learning for causal inference in behavior science and public health

Dr. Brian Lin
Assistant Research Scientist, University of Michigan Transportation Research Institute (UMTRI), College of Engineering
Research Focus: Using data-driven methods to explore driver and vulnerable road user's behavior and interaction with automated vehicles

Dr. Anthony Million
Research Investigator, Inter-university Consortium for Political and Social Research (ICPSR), Institute for Social Research
Research Focus: Investigating if pre-registration systems need discipline-specific design features and what these features might be

Dr. Matthew VanEseltine
Assistant Research Scientist, Survey Research Center, Institute for Social Research
Research Focus: The science of science, team science, early careers in scientific research, gender and science, and open science with restricted data

Dr. Joshua Welch
Assistant Professor, Computational Medicine and Bioinformatics, Medicine
Research Focus: Machine learning for single-cell genomics

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Social / Informal Gathering Tue, 06 Sep 2022 11:13:53 -0400 2022-09-06T14:00:00-04:00 2022-09-06T16:00:00-04:00 Weiser Hall Michigan Institute for Data Science Social / Informal Gathering Networking
Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences - Summer Institute in Survey Research Techniques (September 7, 2022 10:00am) https://events.umich.edu/event/95713 95713-21790774@events.umich.edu Event Begins: Wednesday, September 7, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences

Course open for registration!
Open to all!

September 7 - October 5, 2022
10:00am-12:00pm
Wednesdays

Social scientists are increasingly interested in machine learning methods to glean scientific knowledge and actionable insights from designed and gathered data. Implementing machine learning, however, requires users to have programming skills. This can be a daunting challenge for many non-tech savvy researchers. This course aims to guide social scientists to explore how machine learning can be used for their research without learning how to code. This course uses a graphical user interface tool Orange to provide learners with hands-on experiences in implementing machine learning techniques including data cleaning, visualization, and fine-tuning of algorithmic models. The open-source tool Orange is built on popular Python packages, providing basically the same functions and performances as many data scientists would obtain by writing complicated code. The course demonstrates that researchers can utilize the power of machine learning without learning how to code and focus more on machine learning concepts and best practices as well as analytical model development and validation.

Prerequisite: You must have your own laptop or desktop with Orange installed to participate in this class. For installation instruction of Orange, see https://orangedatamining.com/

Not for academic credit.

Instructor: Jinseok Kim

All 2022 courses will be held in an alternative format.

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Class / Instruction Mon, 20 Jun 2022 14:53:44 -0400 2022-09-07T10:00:00-04:00 2022-09-07T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
Alum Connection: Future Forward — How a Computer Science Degree Led John Fanelli into the world of AI (September 7, 2022 4:00pm) https://events.umich.edu/event/97083 97083-21793862@events.umich.edu Event Begins: Wednesday, September 7, 2022 4:00pm
Location: Off Campus Location
Organized By: LSA Opportunity Hub

In a working world that’s transitioned from in-person to virtual to hybrid in a matter of years, the question on everyone’s minds is ‘what’s next?’ Join John Fanelli (‘88 Computer Science), an LSA alum who has been at the forefront of this question since the day he left campus. John’s computer science degree segued him into the world of artificial intelligence (AI) where he now leads NVIDIA’s Enterprise Software team tasked with making AI accessible to today’s workplaces. As companies quickly transitioned their workforces to hybrid work environments, John’s expertise is in partnering with these enterprises on bringing AI solutions to the next generation of workplaces.


About John:
John is vice president of the NVIDIA virtualization product group, which includes responsibility for product management, product marketing and virtualization alliances. With over 20 years of marketing experience, John has led marketing teams at DataTorrent, Citrix, LeftHand Networks, Wind River, and Sun Microsystems.


You should attend this session if you are:
-An undergraduate U-M LSA student
-Interested in pursuing a career in artificial intelligence or tech
-Interested in enterprise software or product management


What you’ll gain by attending:
-Make a valuable connection with a successful LSA alum ready to help you
-Gain insights into the future of the workforce
-Get ideas for the multiple career paths a computer science major can take you.

RSVP NOW to be part of the conversation. The link to join this Alum Connection will be emailed to you after you RSVP.

The LSA Opportunity Hub aims to deliver inclusive and accessible experiences and welcomes all LSA students to participate. This event will be hosted on Zoom (learn more about Zoom accessibility) and can be accessed by phone or computer. Presentation materials may be shared in advance if requested, and live captioning will be provided. To request other accommodations please contact Sairah Husain at sairah@umich.edu or 734-763-4674 so we can make arrangements.

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Workshop / Seminar Wed, 31 Aug 2022 14:46:17 -0400 2022-09-07T16:00:00-04:00 2022-09-07T17:00:00-04:00 Off Campus Location LSA Opportunity Hub Workshop / Seminar John Fanelli
What are PRONOUNS - Welcome picnic for international grad students in engineering (September 9, 2022 12:00pm) https://events.umich.edu/event/97217 97217-21794152@events.umich.edu Event Begins: Friday, September 9, 2022 12:00pm
Location:
Organized By: Engineering Education Research

Join us on North Campus to learn PRONOUNS, play activities, win prizes, make new friends and enjoy a free lunch!

Are you ready for the new semester? We prepared a welcome picnic for you. Each participant will receive some swag and a free lunch! By attending this event, you will know more about Pronouns and meet new people. Please come to join us and share the event with your friends.

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Workshop / Seminar Tue, 23 Aug 2022 14:27:40 -0400 2022-09-09T12:00:00-04:00 2022-09-09T13:30:00-04:00 Engineering Education Research Workshop / Seminar Pronoun Event
Business+Tech Literacy Download: Keynote (September 13, 2022 5:00pm) https://events.umich.edu/event/97708 97708-21794987@events.umich.edu Event Begins: Tuesday, September 13, 2022 5:00pm
Location: Ross School of Business
Organized By: Business+Tech at Michigan Ross

Topic: Management in the Age of AI
Guest Speaker: Dinkar Jain, Head of Remote Presence Platform | PM Director of Meta

Dinkar will be speaking on the topic of Management in the Age of AI. As all innovators like us look ahead to managing teams and businesses that rely more and more on artificial intelligence and machine learning, many practices and frameworks of sound management need to be rethought. This keynote will highlight how all aspects of management: accounting, finance, strategy, leadership, marketing and economics, will likely evolve.

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Workshop / Seminar Thu, 01 Sep 2022 09:42:43 -0400 2022-09-13T17:00:00-04:00 2022-09-13T18:00:00-04:00 Ross School of Business Business+Tech at Michigan Ross Workshop / Seminar Business+Tech Literacy Download 2022
Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences - Summer Institute in Survey Research Techniques (September 14, 2022 10:00am) https://events.umich.edu/event/95713 95713-21790775@events.umich.edu Event Begins: Wednesday, September 14, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences

Course open for registration!
Open to all!

September 7 - October 5, 2022
10:00am-12:00pm
Wednesdays

Social scientists are increasingly interested in machine learning methods to glean scientific knowledge and actionable insights from designed and gathered data. Implementing machine learning, however, requires users to have programming skills. This can be a daunting challenge for many non-tech savvy researchers. This course aims to guide social scientists to explore how machine learning can be used for their research without learning how to code. This course uses a graphical user interface tool Orange to provide learners with hands-on experiences in implementing machine learning techniques including data cleaning, visualization, and fine-tuning of algorithmic models. The open-source tool Orange is built on popular Python packages, providing basically the same functions and performances as many data scientists would obtain by writing complicated code. The course demonstrates that researchers can utilize the power of machine learning without learning how to code and focus more on machine learning concepts and best practices as well as analytical model development and validation.

Prerequisite: You must have your own laptop or desktop with Orange installed to participate in this class. For installation instruction of Orange, see https://orangedatamining.com/

Not for academic credit.

Instructor: Jinseok Kim

All 2022 courses will be held in an alternative format.

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Class / Instruction Mon, 20 Jun 2022 14:53:44 -0400 2022-09-14T10:00:00-04:00 2022-09-14T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
"Social Change in Action: How to be a change agent in a world that feels out of control" (September 14, 2022 12:30pm) https://events.umich.edu/event/97362 97362-21794445@events.umich.edu Event Begins: Wednesday, September 14, 2022 12:30pm
Location: Michigan Union
Organized By: School of Social Work

The Social Justice Changemaker Lecture series, established by a generous gift from Neil and Annmarie Hawkins, focuses on important global social justice issues, including race and nationality, immigration and refugees, income inequality, gender identity and sexual orientation, education, health, and mental and physical abilities. The Lecture aims to bring prominent social justice experts and advocates from multiple disciplines, including social sciences, science, humanities, the arts, and the professions, to the University of Michigan Campus.

This year's lecture will focus on exploring ways to be a change agent during challenging times and how to use philanthropy as a force for social change. Darren Walker will talk about how he sees his position at the Ford Foundation and the role of philanthropy. He will discuss the idea of "trust-based" philanthropy and that being a leader is sometimes being a convener.

*This event will take place in person - A livestream option will be made available on the SSW homepage. Continuing education hours will only be offered for the in-person event.*

If you have any questions regarding this event, please contact Emma Krzyzaniak at ekrzyzan@umich.edu

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Lecture / Discussion Mon, 12 Sep 2022 09:26:50 -0400 2022-09-14T12:30:00-04:00 2022-09-14T14:00:00-04:00 Michigan Union School of Social Work Lecture / Discussion Darren Walker and title of event
DCMB / CCMB Weekly Seminar (September 14, 2022 4:00pm) https://events.umich.edu/event/97098 97098-21794444@events.umich.edu Event Begins: Wednesday, September 14, 2022 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Talk Title: Deep learning for sequence design with a few data points

Abstract:
Deep learning has begun a renaissance in chemistry and materials. We can devise and fit models to predict molecular properties in a few hours and deploy them in a web browser. We can create novel generative models that were previously PhD theses in an afternoon. In my group, we’re exploring deep learning in peptides. We are focused on two major problems: interpretability and data scarcity. Now that we can make deep learning models to predict any molecular property ad naseum, what can we learn? I will discuss our recent efforts on interpreting deep learning models through symbolic regression and counterfactuals. Data scarcity is a common problem in biochemistry: how can we learn new properties without significant expense of experiments? One method is in judicious choice of experiments, which can be done with active learning. Another approach is self-supervised learning and constraining symmetries, which both try to exploit structure in data. I will cover recent progress in these areas.

Zoom: https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Lecture / Discussion Thu, 18 Aug 2022 13:56:14 -0400 2022-09-14T16:00:00-04:00 2022-09-14T17:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion
Business+Tech Literacy Download: Coding Languages of Today (September 14, 2022 4:30pm) https://events.umich.edu/event/97710 97710-21794990@events.umich.edu Event Begins: Wednesday, September 14, 2022 4:30pm
Location: Ross School of Business
Organized By: Business+Tech at Michigan Ross

Coding Languages have evolved significantly over time, and have forever changed the way the world uses technology. Using a business lens, this session aims to educate on the most popular programming languages today, as well as how and why programming languages were developed. This session is perfect for the aspiring product managers, the software developers, the technical founders, and those looking to get into tech.

Participants can expect to hear from experts on coding languages today and practice using a coding language of their choice.

Guest Speaker: Lennart Baardman, Michigan Ross Professor

Lane/Category: Cloud Platforms
Club Sponsorship: Michigan Code Academy

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Business+Tech is hosting the second annual +Tech Literacy Download for students across all schools and colleges. During this month-long series, participants will increase their technical literacy and competency through hands-on workshops ranging from coding languages to industry-lead information sessions on emerging technologies. Accelerate your technical literacy today by saving the date for the +Tech Literacy Download!

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Workshop / Seminar Tue, 30 Aug 2022 11:37:30 -0400 2022-09-14T16:30:00-04:00 2022-09-14T18:00:00-04:00 Ross School of Business Business+Tech at Michigan Ross Workshop / Seminar Business+Tech Literacy Download 2022
Business+Tech Literacy Download: Intro to CRM Ecosystem & Integrations (September 14, 2022 5:45pm) https://events.umich.edu/event/97712 97712-21794994@events.umich.edu Event Begins: Wednesday, September 14, 2022 5:45pm
Location: Ross School of Business
Organized By: Business+Tech at Michigan Ross

Customer relationship management platforms power a variety of industries and business models, enabling more efficient centralization of customer information and outreach. These platforms play a major part in engaging customers digitally by utilizing the power of data and integrations. During this session we will learn from Salesforce how the broader CRM ecosystem makes an impact on businesses and customers alike.

Guest Speaker: Amanda Ball, Salesforce

Lane/Category: Cloud Platforms

Club Sponsorship: Tech Club

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Business+Tech is hosting the second annual +Tech Literacy Download for students across all schools and colleges. During this month-long series, participants will increase their technical literacy and competency through hands-on workshops ranging from coding languages to industry-lead information sessions on emerging technologies. Accelerate your technical literacy today by saving the date for the +Tech Literacy Download!

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Workshop / Seminar Tue, 30 Aug 2022 11:37:57 -0400 2022-09-14T17:45:00-04:00 2022-09-14T18:45:00-04:00 Ross School of Business Business+Tech at Michigan Ross Workshop / Seminar Business+Tech Literacy Download 2022
Using Annoto with Video Content (September 15, 2022 10:00am) https://events.umich.edu/event/98158 98158-21795658@events.umich.edu Event Begins: Thursday, September 15, 2022 10:00am
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

ABOUT THIS WORKSHOP

Canvas Workshop

Workshop Agenda: * Background * Product Overview * In-Video discussion widget * Insights Dashboard * Kaltura & Canvas Support * Product Demonstration * Hands-on experience * Customer Use Cases * Value proposition and Key Impacts * Q&A

- Annoto is available as free trial tool for Fall 2022.
- Annoto provides in-video discussion tools in Canvas and is used within MiVideo/Kaltura.
Watch a two-minute video demo of Annoto. [https://youtu.be/1T9EZi7KJcc]
- Annoto enables your course participants to add time-based annotations as an overlay to any video content, turning passive video watching into an active and collaborative learning experience, while providing you actionable insights on the students and the video content delivered.
- Annoto covers all your different use cases when using video content and is used for student assignments, skills development, collaborative learning, guided watching, peer review, and many more.

Level: Beginner
Trainer: Gili Cohen

The ITS Teaching Online Technique Training Workshops are available to help you prepare for teaching online, in person, hybrid, or HyFlex.

Find detailed training information on this and additional workshops, including on-demand recordings, on the ITS Training website: https://its.umich.edu/training/canvas

Join all ITS training sessions in this series via the following Zoom URL for all workshops: https://umich.zoom.us/j/96810579762

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Workshop / Seminar Tue, 06 Sep 2022 16:46:11 -0400 2022-09-15T10:00:00-04:00 2022-09-15T11:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Workshop / Seminar Using Annoto with Video Content
DCM&B Tools and Technology Seminar (September 15, 2022 12:00pm) https://events.umich.edu/event/96847 96847-21793398@events.umich.edu Event Begins: Thursday, September 15, 2022 12:00pm
Location: Palmer Commons
Organized By: DCMB Tools and Technology Seminar

npore is a read realigner which recalculates each read's fine-grained alignment in order to more accurately align ''n-polymers'' such as homopolymers (n=1) and tandem repeats (2 ≤ n ≤ 6). In other words, given an input BAM, it adjusts each read's CIGAR string to more accurately model the most likely sequencing errors and actual variants. Traditional affine gap penalties are context-agnostic, and do not model the higher likelihood of INDELs in low-complexity regions (particularly n-polymers), leading to poor or inconsistent alignments. We find that npore improves pileup concordance across reads and results in slightly better variant calling performance.

Tool Link: https://github.com/TimD1/nPoRe

This presentation will be held in 2036 Palmer Commons. There will also be a remote viewing option via Zoom.

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Presentation Mon, 15 Aug 2022 10:35:55 -0400 2022-09-15T12:00:00-04:00 2022-09-15T13:00:00-04:00 Palmer Commons DCMB Tools and Technology Seminar Presentation
Business+Tech Literacy Download: Intro to AI (September 16, 2022 12:00pm) https://events.umich.edu/event/97713 97713-21794996@events.umich.edu Event Begins: Friday, September 16, 2022 12:00pm
Location: Ross School of Business
Organized By: Business+Tech at Michigan Ross

Artificial Intelligence is everywhere, and the use cases are endless. Have you found yourself curious about the foundational elements of AI, and where it is most present in business today? Join us for a conversation with Meta’s Director of Product Management to learn more!

Guest Speaker: Dinkar Jain, Head of Remote Presence Platform | PM Director of Meta

Club Sponsorship: Tech Club

—————

Business+Tech is hosting the second annual +Tech Literacy Download for students across all schools and colleges. During this month-long series, participants will increase their technical literacy and competency through hands-on workshops ranging from coding languages to industry-lead information sessions on emerging technologies. Accelerate your technical literacy today by saving the date for the +Tech Literacy Download!

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Workshop / Seminar Tue, 30 Aug 2022 11:23:56 -0400 2022-09-16T12:00:00-04:00 2022-09-16T13:00:00-04:00 Ross School of Business Business+Tech at Michigan Ross Workshop / Seminar Business+Tech Literacy Download 2022
Natural Language Processing Workshop Series (September 19, 2022 3:00pm) https://events.umich.edu/event/97509 97509-21794662@events.umich.edu Event Begins: Monday, September 19, 2022 3:00pm
Location: West Hall
Organized By: Michigan Institute for Data Science

Written text contains a wealth of information that can be turned into research data to study almost every aspect of human behavior, human health and our society. However, converting text to usable data requires an understanding of standard techniques from the field of Natural Language Processing (NLP). MIDAS and the AI Lab are jointly organizing a monthly series of NLP workshops during the Fall 2022 semester. The first installment is on Sept. 19, and the second installment is on Oct. 10. Each session does not directly depend upon information from previous sessions.

In the first workshop of the series, we will provide a broad overview of NLP and introduce basic concepts used in NLP, including keyword counting, sentiment classification, and topic modeling. Additional topics include how NLP can be used, what the data look like, what (social science) questions could be answered using NLP, and more.

The second session, on Oct 10, is titled "What's in Text Data?"
Written text contains rich information about human knowledge, opinions, and communication styles, but how do we extract insight about all this from the data? In this second workshop in the series, we will first introduce Jupyter notebooks, a popular platform for performing data science research. Then we will discuss how to choose a dataset for your research question, extract your own dataset from social media sites like Reddit and Twitter, and convert the raw text data to a usable format. We will then explore several methods to extract information and gain insight from text data, including named entity recognition and sentiment analysis.

Register Here:
https://docs.google.com/forms/d/e/1FAIpQLSe7k0uvPClqJnyWAMlWBZWb3h1imP4rnbClkvoyQ6Mq7dh8Ow/viewform

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Workshop / Seminar Mon, 29 Aug 2022 14:29:49 -0400 2022-09-19T15:00:00-04:00 2022-09-19T17:00:00-04:00 West Hall Michigan Institute for Data Science Workshop / Seminar NLP Workshop
Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences - Summer Institute in Survey Research Techniques (September 21, 2022 10:00am) https://events.umich.edu/event/95713 95713-21790776@events.umich.edu Event Begins: Wednesday, September 21, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences

Course open for registration!
Open to all!

September 7 - October 5, 2022
10:00am-12:00pm
Wednesdays

Social scientists are increasingly interested in machine learning methods to glean scientific knowledge and actionable insights from designed and gathered data. Implementing machine learning, however, requires users to have programming skills. This can be a daunting challenge for many non-tech savvy researchers. This course aims to guide social scientists to explore how machine learning can be used for their research without learning how to code. This course uses a graphical user interface tool Orange to provide learners with hands-on experiences in implementing machine learning techniques including data cleaning, visualization, and fine-tuning of algorithmic models. The open-source tool Orange is built on popular Python packages, providing basically the same functions and performances as many data scientists would obtain by writing complicated code. The course demonstrates that researchers can utilize the power of machine learning without learning how to code and focus more on machine learning concepts and best practices as well as analytical model development and validation.

Prerequisite: You must have your own laptop or desktop with Orange installed to participate in this class. For installation instruction of Orange, see https://orangedatamining.com/

Not for academic credit.

Instructor: Jinseok Kim

All 2022 courses will be held in an alternative format.

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Class / Instruction Mon, 20 Jun 2022 14:53:44 -0400 2022-09-21T10:00:00-04:00 2022-09-21T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
BusinessObjects 4.3 Training (September 21, 2022 1:00pm) https://events.umich.edu/event/96240 96240-21792160@events.umich.edu Event Begins: Wednesday, September 21, 2022 1:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Do you have questions about the upcoming changes to BusinessObjects? Save time for one of our live webinars to hear about the upgrade impacts and to get a preview of the upgraded system, including demonstrations of the system’s new look and feel along with some new features. The demonstrations will cover the new UI, running reports, creating reports, and exporting data.

Opportunities will be available during the webinar to ask questions.

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Class / Instruction Mon, 25 Jul 2022 09:42:59 -0400 2022-09-21T13:00:00-04:00 2022-09-21T17:00:00-04:00 Off Campus Location Information and Technology Services (ITS) Class / Instruction
DCMB Weekly Seminar (September 21, 2022 4:00pm) https://events.umich.edu/event/98815 98815-21797218@events.umich.edu Event Begins: Wednesday, September 21, 2022 4:00pm
Location: Palmer Commons
Organized By: DCMB Seminar Series

Abstract:
The intersect between the life sciences (cells, tissues, organs) and engineered materials (polymers, biomacromolecules, semiconductors) is crucial for a wide range of medical and biotechnological applications. Hence, the precise control of biotic/abiotic interfaces has been one of the main obstacles of past decades. The Lahann Lab designs polymers for a range of different medical applications. In particular, we have developed a class of protein nanoparticles for targeting of glioblastoma. In addition, I will summarize our efforts related to sheet-like 3D organoid systems and will address recent advances with morphologically designed interfaces.

Research Interests:
Designer surfaces, advanced polymers, biomimetic materials, microfluidic devices, engineered microenvironments, nano-scale self-assembly.

Joerg Lahann’s research is broadly related to surface engineering with strong ties to biomedical engineering and nanotechnology. His research on reversibly switching surfaces was featured in an article in Science (J. Lahann, et al., A Reversibly Switching Surface, January 17, 2003, 299, 371-374.) These “smart surfaces” can reversibly switch properties in response to an external stimulus. To demonstrate these findings, a surface design was developed that can be changed from water-attracting to water-repelling with the application of a weak electric field. Designed as a switch, single-layered molecular-level machines are aligned on a surface using self-assembly and then are flipped between defined microscopic states. This type of surface design may offer a new paradigm for interfacial engineering as it amplifies reversible conformational transitions at a molecular level to macroscopic changes in surface properties without altering the chemical identity of the surface.

Joerg has also developed a novel class of polymers with potential for biomimetic and spatially directed surface engineering. This “reactive coating” technology uses chemical vapor deposition (CVD) polymerization to deposit a wide range of chemical signatures on various substrate materials. Its simplicity in providing chemically reactive groups and its applicability to three-dimensional geometries (e.g., for microfluidics) enables the exact tailoring of surface properties and the preparation of biologically relevant microenvironments. Reactive coatings are compatible with soft lithographic processes, allowing for patterning of proteins, DNA, cytokines, and mammalian cells.

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Lecture / Discussion Thu, 15 Sep 2022 11:36:52 -0400 2022-09-21T16:00:00-04:00 2022-09-21T17:00:00-04:00 Palmer Commons DCMB Seminar Series Lecture / Discussion (Protein pattern deposited on a polymer surface, artistic rendering, credit: Bahar Dadfar)
DCM&B Tools and Technology Seminar (September 22, 2022 12:00pm) https://events.umich.edu/event/96848 96848-21793400@events.umich.edu Event Begins: Thursday, September 22, 2022 12:00pm
Location: Palmer Commons
Organized By: DCMB Tools and Technology Seminar

This presentation will be given remotely, with the livestream available for group viewing in 2036 Palmer Commons. There will also be a remote viewing option via Zoom.

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Presentation Mon, 15 Aug 2022 10:42:50 -0400 2022-09-22T12:00:00-04:00 2022-09-22T13:00:00-04:00 Palmer Commons DCMB Tools and Technology Seminar Presentation
LHS Collaboratory (September 22, 2022 12:00pm) https://events.umich.edu/event/96027 96027-21791723@events.umich.edu Event Begins: Thursday, September 22, 2022 12:00pm
Location: Palmer Commons
Organized By: Department of Learning Health Sciences

LHS Collaboratory Kickoff Poster Session Showcasing LHS Work at the University of Michigan

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Lecture / Discussion Tue, 12 Jul 2022 10:55:57 -0400 2022-09-22T12:00:00-04:00 2022-09-22T14:00:00-04:00 Palmer Commons Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory logo
Business+Tech Literacy Download: Venture Capital in Tech (September 27, 2022 4:30pm) https://events.umich.edu/event/98005 98005-21795447@events.umich.edu Event Begins: Tuesday, September 27, 2022 4:30pm
Location:
Organized By: Business+Tech at Michigan Ross

Join us to discuss how venture capital firms think about investing in the technology start-up landscape!

Guest Speaker: Detroit Venture Partners

Lane/Category: Emerging Tech

Club sponsorship: ZLCF, EVC

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Workshop / Seminar Fri, 02 Sep 2022 11:06:42 -0400 2022-09-27T16:30:00-04:00 2022-09-27T17:30:00-04:00 Business+Tech at Michigan Ross Workshop / Seminar Business+Tech Literacy Download 2022
Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences - Summer Institute in Survey Research Techniques (September 28, 2022 10:00am) https://events.umich.edu/event/95713 95713-21790777@events.umich.edu Event Begins: Wednesday, September 28, 2022 10:00am
Location: Off Campus Location
Organized By: Summer Institute in Survey Research Techniques

Code-Free Machine Learning: Introduction to Concepts and Best Practices with Hands-on Experiences

Course open for registration!
Open to all!

September 7 - October 5, 2022
10:00am-12:00pm
Wednesdays

Social scientists are increasingly interested in machine learning methods to glean scientific knowledge and actionable insights from designed and gathered data. Implementing machine learning, however, requires users to have programming skills. This can be a daunting challenge for many non-tech savvy researchers. This course aims to guide social scientists to explore how machine learning can be used for their research without learning how to code. This course uses a graphical user interface tool Orange to provide learners with hands-on experiences in implementing machine learning techniques including data cleaning, visualization, and fine-tuning of algorithmic models. The open-source tool Orange is built on popular Python packages, providing basically the same functions and performances as many data scientists would obtain by writing complicated code. The course demonstrates that researchers can utilize the power of machine learning without learning how to code and focus more on machine learning concepts and best practices as well as analytical model development and validation.

Prerequisite: You must have your own laptop or desktop with Orange installed to participate in this class. For installation instruction of Orange, see https://orangedatamining.com/

Not for academic credit.

Instructor: Jinseok Kim

All 2022 courses will be held in an alternative format.

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Class / Instruction Mon, 20 Jun 2022 14:53:44 -0400 2022-09-28T10:00:00-04:00 2022-09-28T12:00:00-04:00 Off Campus Location Summer Institute in Survey Research Techniques Class / Instruction
Distinguished Lecture Series: Leadership in Technology (September 28, 2022 1:30pm) https://events.umich.edu/event/97360 97360-21794442@events.umich.edu Event Begins: Wednesday, September 28, 2022 1:30pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

The Distinguished Lecture Series: Leadership in Technology invites you to hear from industry leaders and find inspiration in their journeys related to the transformative power of technology.

1:30 p.m. - 2:30 p.m.
Wednesday, September 28, 2022
Learn more and register: its.umich.edu/speakerseries

*ABOUT THE EVENT*

Join Dr. Ravi Pendse, vice president for information technology and chief information officer at U-M, for a conversation with Toomas Hendrik Ilves, the president of Estonia from 2006-16. The conversation will cover the intersection of technology and government, cybersecurity, and more — Ilves was in office when Estonia was a victim of a massive cyber-attack, believed to have originated in Russia, in 2007.

President Ilves is renowned for making Estonia one of the most digitally advanced nations through innovative policies that invested heavily in the future. He used his office to further the country’s leadership in digital governance as well as in cyber security. His interest in computers stems from an early age — he learned to program at the age of 13 — and he has been promoting Estonia's IT-development since the country restored its independence. He was born to Estonian refugees and raised in the United States, and holds a BA from Columbia and an MA from the University of Pennsylvania.

Students, staff, faculty, and community members are invited to submit questions in advance, during the registration process, or live in the session.

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Lecture / Discussion Wed, 24 Aug 2022 14:31:37 -0400 2022-09-28T13:30:00-04:00 2022-09-28T14:30:00-04:00 Off Campus Location Information and Technology Services (ITS) Lecture / Discussion Distinguished Lecture Series: Leadership in Technology; Toomas Hendrik Ilves, president of Estonia from 2006-16
Business+Tech Literacy Download: Power Democratization & Next Generation UX in Finance (September 28, 2022 4:30pm) https://events.umich.edu/event/97715 97715-21794998@events.umich.edu Event Begins: Wednesday, September 28, 2022 4:30pm
Location: Off Campus Location
Organized By: Business+Tech at Michigan Ross

Personal investment management is complicated, time consuming, and inaccessible to most. Pave Finance is looking to change that. Come meet the founder of Pave Finance and hear how he’s promoting economic equality by democratizing access to top financial tools typically reserved for the wealthy and what might the next generation of User Experience look like in Finance.

Guest Speaker: Pascal Cévaër-Corey, Founder of Pave Finance

Lane/Category: Emerging Tech, Digital User Experience

Club Partnership: FinTech Club

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Business+Tech is hosting the second annual +Tech Literacy Download for students across all schools and colleges. During this month-long series, participants will increase their technical literacy and competency through hands-on workshops ranging from coding languages to industry-lead information sessions on emerging technologies. Accelerate your technical literacy today by saving the date for the +Tech Literacy Download!

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Workshop / Seminar Tue, 30 Aug 2022 11:37:07 -0400 2022-09-28T16:30:00-04:00 2022-09-28T17:30:00-04:00 Off Campus Location Business+Tech at Michigan Ross Workshop / Seminar Business+Tech Literacy Download 2022
Business+Tech Literacy Download: Tech in Agriculture & Food (September 28, 2022 5:45pm) https://events.umich.edu/event/97716 97716-21794999@events.umich.edu Event Begins: Wednesday, September 28, 2022 5:45pm
Location: Off Campus Location
Organized By: Business+Tech at Michigan Ross

AgTech is a growing and exciting field. From climate analytics, to autonomous vehicles on farms, or remote sensing, Ag Tech is an exciting, high growth sector of the industry. Join this joint-hosted session with Food, Bev & Ag club to hear from Rossers and other Michigan alums about the field and career paths in Ag tech.

Guest Speaker: Will Kletter, Vice President of Operations and Strategy at ClimateAI

Lane/Category: Big Data & Analytics

Club Sponsorship: Food, Bev, and Ag Club

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Business+Tech is hosting the second annual +Tech Literacy Download for students across all schools and colleges. During this month-long series, participants will increase their technical literacy and competency through hands-on workshops ranging from coding languages to industry-lead information sessions on emerging technologies. Accelerate your technical literacy today by saving the date for the +Tech Literacy Download!

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Workshop / Seminar Tue, 30 Aug 2022 11:51:32 -0400 2022-09-28T17:45:00-04:00 2022-09-28T18:45:00-04:00 Off Campus Location Business+Tech at Michigan Ross Workshop / Seminar Business+Tech Literacy Download 2022
10th Anniversary Symposium & Celebration - Department of Computational Medicine & Bioinformatics (September 29, 2022 1:15pm) https://events.umich.edu/event/98793 98793-21797190@events.umich.edu Event Begins: Thursday, September 29, 2022 1:15pm
Location: Taubman Biomedical Science Research Building
Organized By: Omenn Lecture

On September 29, 2022, the University of Michigan Department of Computational Medicine and Bioinformatics (DCMB) will celebrate its 10th anniversary with a symposium and in-person gathering.

The event will be introduced by James Woolliscroft, M.D., Lyle C. Roll Professor of Medicine, and former dean of the Medical School. Department faculty members will present about their research, and two distinguished alumni –Erin Shellman, Ph.D., Head of Data at Gingko Bioworks, and Dan Rhodes, Ph.D., co-founder and CEO at Strata Oncology – will talk about their respective careers.

At 4:00 p.m., Holden Thorp, Ph.D., editor-in-chief, Science Family of Journals will give the 8th Annual G. Omenn Lecture: "Data Science and Medicine in the Age of Open Data, Open Code, and Open Access: From Protein Structure Prediction to COVID Origins"

A poster session will close the afternoon. For more information and registration, visit our website.

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Lecture / Discussion Wed, 14 Sep 2022 16:17:20 -0400 2022-09-29T13:15:00-04:00 2022-09-29T18:30:00-04:00 Taubman Biomedical Science Research Building Omenn Lecture Lecture / Discussion DCMB 10th Anniversary Symposium & Celebration
Business+Tech Literacy Download: How Tech Partnerships are Fueling Insights in Wellness (September 30, 2022 12:00pm) https://events.umich.edu/event/97728 97728-21795040@events.umich.edu Event Begins: Friday, September 30, 2022 12:00pm
Location: Off Campus Location
Organized By: Business+Tech at Michigan Ross

Wearable tech is a bustling industry that now spans a large range of applications and solutions and is changing the market of health-related innovation. In the commercial market, wearables are often seen as fitness-oriented, but the future of wearable tech lies beyond fitness and expands into mental health, metabolic fitness, and personalized health knowledge. Explore how wearables are disrupting the health/fitness tech space and learn more about how the impact of data driven insights are shaping people today and the future of health.

Guest Speaker: Marielle Mankey, Senior Manager at ŌURA | Marketing Operations Lead

Lane/Category: Big Data & Analytics

Club Sponsorship: FitX

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Business+Tech is hosting the second annual +Tech Literacy Download for students across all schools and colleges. During this month-long series, participants will increase their technical literacy and competency through hands-on workshops ranging from coding languages to industry-lead information sessions on emerging technologies. Accelerate your technical literacy today by saving the date for the +Tech Literacy Download!

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Workshop / Seminar Tue, 30 Aug 2022 12:39:37 -0400 2022-09-30T12:00:00-04:00 2022-09-30T13:00:00-04:00 Off Campus Location Business+Tech at Michigan Ross Workshop / Seminar Business+Tech Literacy Download 2022
Business+Tech Literacy Download: Designing Digital Payments for Disruption (September 30, 2022 1:00pm) https://events.umich.edu/event/97746 97746-21795041@events.umich.edu Event Begins: Friday, September 30, 2022 1:00pm
Location: Ross School of Business
Organized By: Business+Tech at Michigan Ross

Digital payments help process, send, and review digital online payments across borders. Come hear from a Digital Finance Executive to explore how digital payments has become a forward thinking approach to process digital cash in real time and accommodate any person or business, anywhere in the world.

Guest Speaker: Scott Hamerink, IBM Associate Partner Global Banking & Lending Practice Leader

Lane/Category: Emerging Tech

Club Partnership: FinTech Club

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Business+Tech is hosting the second annual +Tech Literacy Download for students across all schools and colleges. During this month-long series, participants will increase their technical literacy and competency through hands-on workshops ranging from coding languages to industry-lead information sessions on emerging technologies. Accelerate your technical literacy today by saving the date for the +Tech Literacy Download!

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Workshop / Seminar Tue, 30 Aug 2022 12:44:42 -0400 2022-09-30T13:00:00-04:00 2022-09-30T14:00:00-04:00 Ross School of Business Business+Tech at Michigan Ross Workshop / Seminar Business+Tech Literacy Download 2022
Business+Tech Literacy Download: Blockchain & Crypto (October 4, 2022 4:30pm) https://events.umich.edu/event/97747 97747-21795042@events.umich.edu Event Begins: Tuesday, October 4, 2022 4:30pm
Location: Ross School of Business
Organized By: Business+Tech at Michigan Ross

Guest Speaker: Venky Nagar, Michigan Ross Professor

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Workshop / Seminar Tue, 30 Aug 2022 12:48:27 -0400 2022-10-04T16:30:00-04:00 2022-10-04T17:30:00-04:00 Ross School of Business Business+Tech at Michigan Ross Workshop / Seminar Business+Tech Literacy Download 2022
Business+Tech Literacy Download: Committing to Trustworthy AI (October 4, 2022 5:45pm) https://events.umich.edu/event/97749 97749-21795043@events.umich.edu Event Begins: Tuesday, October 4, 2022 5:45pm
Location: Ross School of Business
Organized By: Business+Tech at Michigan Ross

Guest Speakers: Roland Ehi, Boyang Yu, Karthik Ganesan - Deloitte Consulting

Lane/Category: Big Data & Analytics

Club Sponsorship: Tech Club

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Business+Tech is hosting the second annual +Tech Literacy Download for students across all schools and colleges. During this month-long series, participants will increase their technical literacy and competency through hands-on workshops ranging from coding languages to industry-lead information sessions on emerging technologies. Accelerate your technical literacy today by saving the date for the +Tech Literacy Download!

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Workshop / Seminar Tue, 30 Aug 2022 12:51:15 -0400 2022-10-04T17:45:00-04:00 2022-10-04T18:45:00-04:00 Ross School of Business Business+Tech at Michigan Ross Workshop / Seminar Business+Tech Literacy Download 2022