{ "124092-21905463": { "datetime_modified":"20260622T124926", "datetime_start":"20260707T120000", "datetime_end":"20260707T124500", "has_end_time":1, "date_start":"2026-07-07", "date_end":"2026-07-07", "time_start":"12:00:00", "time_end":"12:45:00", "time_zone":"America\/Detroit", "event_title":"We Are Stars", "occurrence_title":"", "combined_title":"We Are Stars", "event_subtitle":"", "event_type":"Exhibition", "event_type_id":"7", "description":"What are we made of? Where did it all come from? Explore the secrets of our cosmic chemistry and our explosive origins. 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Join us for this interactive session designed to help international studentsexplore the on-campus employment opportunities available at U-M. You\u2019lllearn how to approach the application process with confidence, discover how campus jobs can help you build valuable skills for future career success, and find out how the University Career Center can support you throughout your journey.\u00a0This event's information is shown in Handshake as well as on the Happening @ Michigan calendar so that it will be seen by a larger number of U-M Students. You can only register to attendthis event within Handshake. If you'd like to indicate that you'll be attending this event and see more details, please go to this webpage:\u00a0https:\/\/umich.joinhandshake.com\/events\/1950081\/share_preview\u00a0We want to ensure full and equitable participation in our events. If an accessibility accommodation would promote your fullparticipation in this event, please indicate your accommodation requirements via the link below, preferably at least 14 days prior to the programto ensure sufficient time for arranging your requested accommodation(s) or exploring suitable alternatives. If you have any questions regarding access to our programs, please don't hesitate to reach out to Jocelyn Gaydosat jmgaydos@umich.edu. Accessibility accommodation form:\u00a0https:\/\/forms.gle\/FmFn35ZLxJ8kvPfSA\u00a0\u00a0#UCC", "occurrence_notes":null, "guid":"148050-21902886@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/148050", "building_id":"", "building_name":"", "campus_maps_id":"", "room":"", "location_name":"", "has_livestream":0, "cost":"", "tags":[], "website":"", "sponsors":[ { "group_name":"University Career Center UCC", "group_id":"1140", "website":"http:\/\/careercenter.umich.edu" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21902886 } , "148265-21903577": { "datetime_modified":"20260513T130729", "datetime_start":"20260707T130000", "datetime_end":"20260707T150000", "has_end_time":1, "date_start":"2026-07-07", "date_end":"2026-07-07", "time_start":"13:00:00", "time_end":"15:00:00", "time_zone":"America\/Detroit", "event_title":"June 2 - July 30, 2026 T\/TH Course - Sampling in Practice", "occurrence_title":"", "combined_title":"June 2 - July 30, 2026 T\/TH Course - Sampling in Practice: Yajuan Si - Institute for Social Research, University of Michigan.", "event_subtitle":"Yajuan Si - Institute for Social Research, University of Michigan.", "event_type":"Class \/ Instruction", "event_type_id":"8", "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 \u2014 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\u2019s 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. 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