Presented By: Information and Technology Services (ITS)
CoderSpaces, Virtual Office Hours (Wednesdays)
Charles Antonelli (LSA Tech), Jule Krüger (ISR/ARC), Sara Lafia (ICPSR), Shelly Johnson (ARC)
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 – Thursdays, during the Winter 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.
Expertise at this session includes: ARC clusters (Great Lakes, Armis), automation of tasks and workflows, bash, C/C++, CMake, data analysis, data management, data manipulation, data visualization, Fortran, Geographic Information Science (GIS), Git/Github, GNU Make, high performance computing, Julia, LaTeX, machine learning, MPI, natural language processing, OpenMP, parallelization, performance analysis, Python (including pandas), R, R Markdown, R tidyverse, shell scripting, software compilation and installation on Linux, spatial data analysis, SQL, text analysis, web scraping (Selenium, Python/Requests, Python/BeautifulSoup), XSEDE resources.
CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.
Wednesdays 1:30-3pm
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.
All members of the U-M community are invited to join our weekly virtual CoderSpaces, Tuesdays – Thursdays, during the Winter 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.
Expertise at this session includes: ARC clusters (Great Lakes, Armis), automation of tasks and workflows, bash, C/C++, CMake, data analysis, data management, data manipulation, data visualization, Fortran, Geographic Information Science (GIS), Git/Github, GNU Make, high performance computing, Julia, LaTeX, machine learning, MPI, natural language processing, OpenMP, parallelization, performance analysis, Python (including pandas), R, R Markdown, R tidyverse, shell scripting, software compilation and installation on Linux, spatial data analysis, SQL, text analysis, web scraping (Selenium, Python/Requests, Python/BeautifulSoup), XSEDE resources.
CoderSpaces provide a casual, productive and inclusive environment. Everyone is welcome regardless of skill level.
Wednesdays 1:30-3pm
Join via Zoom* (https://umich.zoom.us/j/96392817699)
*Users will have to sign in with their UMICH (Level-1) credentials.
Livestream Information
ZoomJanuary 19, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomJanuary 26, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomFebruary 2, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomFebruary 9, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomFebruary 16, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomFebruary 23, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomMarch 2, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomMarch 9, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomMarch 16, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomMarch 23, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomMarch 30, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomApril 6, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomApril 13, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomApril 20, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
Livestream Information
ZoomApril 27, 2022 (Wednesday) 1:30pm
Meeting ID: 96392817699
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