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DTSTART:20070311T020000
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DTSTAMP:20260428T140916
DTSTART;TZID=America/Detroit:20260616T130000
DTEND;TZID=America/Detroit:20260616T160000
SUMMARY:Workshop / Seminar:Introduction to the Linux Command Line
DESCRIPTION:This remote course will familiarize students with the basics of accessing and interacting with Linux computers using the GNU/Linux operating system’s Bash shell\, also generically referred to as “the command line”.\n\nTopics include:\n- a brief overview of Linux\n- the Bash shell\n- navigating the file system\n- basic commands\n- shell redirection\n- permissions\n- processes\n- the command environment.\n\nThe workshop will also provide a quick introduction to nano a simple text editor that will be used in subsequent workshops to edit files.\n\nPrerequisites: none.\n\nFor more information about the instructors and course preparation materials\, please visit: https://ttc.iss.lsa.umich.edu/ttc/sessions/introduction-to-the-linux-command-line-60-2-2-2-2/
UID:126737-21867350@events.umich.edu
URL:https://events.umich.edu/event/126737
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Academic Technology At Michigan,Applications,Arc,Arc-ts,Computational Science,computer science,computing,Data Science,engineering,Faculty,Free,Generative Ai,Great Lakes Cluster,High Performance Computing,Hpc,Information and Technology,interdisciplinary,Research,Virtual,Workshop
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260513T130729
DTSTART;TZID=America/Detroit:20260616T130000
DTEND;TZID=America/Detroit:20260616T150000
SUMMARY:Class / Instruction:June 2 - July 30\, 2026 T/TH  Course - Sampling in Practice
DESCRIPTION:June 2-July 30\, 2026\, T/TH\n1:00pm - 3:00pm\nA live course via Zoom. Registration and payment are required a minimum of two weeks prior to the start of the course.\n\nFounded in 1948\, the Summer Institute in Survey Research Techniques is designed specifically to meet the needs of professionals and graduate students seeking to deepen their expertise in survey methodology and data collection. Offered through the Michigan Program in Survey and Data Science within the Institute for Social Research at the University of Michigan\, the program provides a rigorous and flexible curriculum that blends theoretical foundations with practical application — entirely online.\n\nSampling in Practice\n\nUnlocking the art and science of sampling with an applied\, hands-on approach\, the course Sampling in Practice is designed for applied practitioners who want to master real-world sampling techniques through active learning and practical programming. Students will learn about probability sampling methods\, including simple random sampling\, stratification\, systematic selection\, cluster sampling\, probability proportional to size sampling\, and multistage sampling. We will also cover sampling cost models\, sampling error estimation techniques\, non-sampling errors\, missing data\, and nonprobability samples. The course emphasizes practical implementation\, featuring interactive coding exercises and in-class examples to reinforce each concept. A culminating project will give students the opportunity to integrate multiple techniques into a comprehensive sample design and demonstrate the profession in designing surveys\, selecting subjects\, analyzing sample data\, and solving real sampling problems using modern statistical tools.\n\nWhy take this course? \n\nThe course is crafted for students and practitioners eager: \n\nTo build proficiency in modern sampling techniques through active engagement and practical coding experience\nTo understand the basic ideas\, concepts and principles of probability sampling from an applied perspective\nTo be able to identify and appropriately apply sampling techniques to survey design problems\nTo understand and be able to assess the impact of the sample design on survey estimates\nTo be able to compute the sample size for a variety of sample designs\nTo 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. \n\nYajuan Si is a Research Associate Professor in the Michigan Program in Survey and Data Science\, located within in the Institute for Social Research at the University of Michigan. She holds a Ph.D. in statistical science from Duke and received postdoctoral training at Columbia. Yajuan’s research focuses on methodology development\, from data analysis to study design\, in streams of Bayesian statistics\, linking design- and model-based approaches for survey inference\, data integration\, missing data analysis\, confidentiality protection\, and causal inference\, with applications in the social and health sciences. More information can be found here: https://websites.umich.edu/~yajuan/.
UID:148265-21903556@events.umich.edu
URL:https://events.umich.edu/event/148265
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Data,Data Analysis,Data Collection,Data Curation,Data Linkage,Data Management,Data Science,Graduate,Professional Development,Survey Methodology,Survey Methods,Survey Research
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260522T112448
DTSTART;TZID=America/Detroit:20260616T130000
DTEND;TZID=America/Detroit:20260616T160000
SUMMARY:Social / Informal Gathering:Northwood Summer Celebration
DESCRIPTION:Northwood residents kick off the summer with us at an exciting afternoon filled with fun activities for all ages\, great prizes\, and opportunities to connect with the community!
UID:148366-21904010@events.umich.edu
URL:https://events.umich.edu/event/148366
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Community Building,Community Engagement,Free Food
LOCATION:Northwood Community Center
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260518T104054
DTSTART;TZID=America/Detroit:20260616T140000
DTEND;TZID=America/Detroit:20260616T153000
SUMMARY:Workshop / Seminar:Ann Arbor Japan Week 2026 | Make a Print Inspired by Japanese Art with UMMA
DESCRIPTION:Make a print inspired by Japanese artwork from the University of Michigan Museum of Art’s (UMMA) collection. You’ll learn about printmaking processes\, trace reproductions from the museum\, and add personal touches in this workshop led by educators from UMMA. Bring your imagination!\n   \n   Please note that this workshop is held in the Secret Lab at Ann Arbor District Library Downtown. After you make your own artwork\, take it with you to the U-M Museum of Art (525 S. State Street). Visit the original inspiration in person and claim your Summer Game code! Learn more about the Summer Game at the Ann Arbor District Library website.\n   \n   This event is part of Ann Arbor Japan Week 2026\, held in partnership with the Ann Arbor District Library (https://aadl.org/node/668778) and the University of Michigan Museum of Art (https://umma.umich.edu/).\n   \n   The 12th annual Ann Arbor Japan Week is from June 14 to 20. Join us for an exciting week of free\, Japan-themed events and activities for all ages! View the complete schedule at: https://myumi.ch/V7nxn.\n\n*Accommodation: If there is anything we can do to make this event accessible to you\, please contact us at cjsevents@umich.edu. Please be aware that advance notice is necessary as some accommodations may require more time for the university to arrange.*
UID:148082-21902928@events.umich.edu
URL:https://events.umich.edu/event/148082
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Art,Asian Languages And Cultures,center for japanese studies,japan,Japanese Studies
LOCATION:Off Campus Location - Secret Lab
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260223T143824
DTSTART;TZID=America/Detroit:20260616T140000
DTEND;TZID=America/Detroit:20260616T150000
SUMMARY:Lecture / Discussion:Rare Failures\, Public Perception\, and Automated Driving: Why Exceptional Events Shape Trust in Emerging Safety Technologies
DESCRIPTION:This lecture explores the “vaccine paradox” of automated driving: why rare\, highly publicized failures of self-driving vehicles provoke intense emotional and political reactions while the far more common harms of human driving remain normalized. Drawing on risk psychology\, public-health history\, and human-factors research\, Prof. McGehee examines how visibility imbalance\, trust\, and perceptions of control shape public acceptance of emerging vehicle automation. Using real-world examples from automated-vehicle deployments alongside lessons from vaccine adoption and safety communication\, the talk argues that societal expectations for perfection in automation may obscure meaningful population-level safety gains. The presentation concludes by discussing how transparency\, responsible system design\, and careful language around driver-assistance technologies can help align public perception with evidence as automated driving evolves toward broader deployment.\n---\nAbout the speaker: Daniel V. McGehee\, is Professor of Industrial and Systems Engineering at the University of Iowa and Director of the Driving Safety Research Institute (DSRI) and the National Advanced Driving Simulator (NADS)\, one of the world’s largest and most advanced ground-vehicle simulation facilities. For more than three decades\, his work has focused on human factors\, driver behavior\, and the safe integration of advanced vehicle technologies\, including automated driving and driver-assistance systems. Dr. McGehee’s research spans engineering\, medicine\, public health\, and transportation policy\, with projects funded by the U.S. Department of Transportation\, National Institutes of Health\, and the automotive industry. He has led over $40 million in sponsored research and authored more than 160 scientific publications addressing driver attention\, crash avoidance\, vulnerable road users\, and the design of vehicle interfaces. His work combines naturalistic driving studies\, simulation\, and field research to better understand how humans interact with emerging mobility systems. At the University of Iowa\, he holds joint appointments in emergency medicine and public health\, reflecting his longstanding interest in traffic safety as a population-level health issue.
UID:145812-21897843@events.umich.edu
URL:https://events.umich.edu/event/145812
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Basic Science,Civil and Environmental Engineering,conference,Discussion,Education,Engineering,Engineering Academic Calendar,Faculty,Free,Graduate and Professional Students,Graduate Students,Industrial and Operations Engineering,Information and Technology,Leadership,Lecture,Mechanical Engineering,Michigan Engineering,Networking,Professional Development,Research,seminar,Talk,Undergraduate,Undergraduate Students,Virtual,Webcast
LOCATION:Transportation Research Institute - Room 139
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260506T165253
DTSTART;TZID=America/Detroit:20260616T150000
DTEND;TZID=America/Detroit:20260616T163000
SUMMARY:Livestream / Virtual:Virtual Pre-Law Information Sessions
DESCRIPTION:The Pre-Law Primer Sessions are designed for incoming students interested in exploring the pre-law path at U-M. We recommend that students attend their scheduled Virtual Academic Advising Session before attending a Pre-Law Primer Session.
UID:147886-21902317@events.umich.edu
URL:https://events.umich.edu/event/147886
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Advising,Newnan,Newnan Academic Advising,Newnan Lsa Academic Advising Center,Newnan Lsa Pre-law,Pre Law
LOCATION:Off Campus Location
CONTACT:
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