{ "148265-21903545": { "datetime_modified":"20260513T130729", "datetime_start":"20260605T130000", "datetime_end":"20260605T150000", "has_end_time":1, "date_start":"2026-06-05", "date_end":"2026-06-05", "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. More information can be found here: https:\/\/websites.umich.edu\/~yajuan\/.", "occurrence_notes":"Registration and payment are required a minimum of two weeks prior to the start of the course.", "guid":"148265-21903545@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/148265", "building_id":"null", "building_name":"Off Campus Location", "campus_maps_id":"1", "room":"", "location_name":"Virtual", "has_livestream":0, "cost":"2,000", "tags":["Data","Data Analysis","Data Collection","Data Curation","Data Linkage","Data Management","Data Science","Graduate","Professional Development","Survey Methodology","Survey Methods","Survey Research"], "website":"https:\/\/tinyurl.com\/uts88yaw", "sponsors":[ { "group_name":"Summer Institute in Survey Research Techniques", "group_id":"4327", "website":"" }, { "group_name":"Institute for Social Research", "group_id":"3285", "website":"http:\/\/isr.umich.edu" }, { "group_name":"Survey Research Center", "group_id":"5063", "website":"https:\/\/src.isr.umich.edu\/" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/05\/event_148265_original-1.png", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/05\/event_148265_original-1.png", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/05\/event_148265_original-1.png", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/05\/event_148265_original-1.png", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/05\/event_148265_original-1.png", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/05\/event_148265_original-1.png", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/05\/event_148265_original-1.png", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/05\/event_148265_original-1.png", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/05\/event_148265_original-1.png", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/05\/event_148265_original-1.png", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/05\/event_148265_original-1.png", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/05\/event_148265_original-1.png", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/05\/event_148265_original-1.png", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/05\/event_148265_original-1.png", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/05\/event_148265_original-1.png", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/05\/event_148265_original-1.png" }, "occurrence_count":79, "first_occurrence":21903522 } , "148398-21904185": { "datetime_modified":"20260522T102454", "datetime_start":"20260605T130000", "datetime_end":"20260605T150000", "has_end_time":1, "date_start":"2026-06-05", "date_end":"2026-06-05", "time_start":"13:00:00", "time_end":"15:00:00", "time_zone":"America\/Detroit", "event_title":"Learning with Quantum Examples: Multiclass, Online, and Smoothed Settings", "occurrence_title":"", "combined_title":"Learning with Quantum Examples: Multiclass, Online, and Smoothed Settings: Preetham Mohan", "event_subtitle":"Preetham Mohan", "event_type":"Presentation", "event_type_id":"16", "description":"Abstract:\n\nAs quantum computing progresses toward fault-tolerant architectures, the question of which computational tasks admit provable quantum advantages and which do not has become increasingly central. Learning theory, and in particular learning from quantum examples, provides one of the few settings in which unconditional quantum-classical separations can be established. In distribution-free (i.e., worst-case) PAC learning, existing results show that quantum examples provide no asymptotic advantage in sample complexity. In contrast, under the uniform distribution, unbounded quantum-classical separations are known for learning Fourier-sparse Boolean functions. Together, these results reveal a striking dichotomy. However, this understanding has largely been developed in the context of learning Boolean functions in the batch setting, leaving open how these phenomena extend more broadly. This thesis develops the theory of learning with quantum examples beyond the batch Boolean setting along three directions: multiclass learning, online learning, and smoothed learning.\n\nIn the multiclass PAC setting, we establish upper and lower bounds on quantum sample complexity in both the realizable and agnostic regimes, finding that quantum examples continue to yield no distribution-independent separation from classical examples, with learning rates governed by the Natarajan dimension up to logarithmic factors in the label-space size. We next study online learning, where no standard framework for learning with quantum examples existed prior to this work. We provide such a model by lifting the classical online framework to one in which the adversary provides distributions over labeled examples, and then by encoding these distributions as quantum examples. We establish expected regret guarantees for binary and multiclass classification in both the realizable and agnostic settings. The central finding is that unrestricted adversarial power permits highly concentrated distributions that dequantize the learning problem. Motivated by this dequantization phenomenon, we develop a smoothed learning framework that constrains distributions to be smooth, interpolating between the concentrated-distribution regime, in which no quantum advantage exists, and the uniform-distribution regime, in which unbounded separations are known. For the class of Fourier-sparse Boolean functions, we show that such separations persist throughout a nontrivial near-uniform regime in both the batch and online settings.\n\nTogether, these results paint a coherent picture of learning with quantum examples beyond the batch Boolean setting, showing that quantum-classical separations depend on the interplay between hypothesis class structure, distributional assumptions, and the degree of adversarial control permitted in the learning process.", "occurrence_notes":null, "guid":"148398-21904185@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/148398", "building_id":"1000166", "building_name":"East Hall", "campus_maps_id":"53", "room":"3088", "location_name":"East Hall", "has_livestream":1, "livestream_type":"zoom", "livetream_require_login":0, "livestream_id":"94724722291", "livestream_password":"545962", "livestream_link":"https:\/\/umich.zoom.us\/j\/94724722291", "cost":"", "tags":["Dissertation","Graduate","Graduate Students","Mathematics"], "website":"", "sponsors":[ { "group_name":"Dissertation Defense - Department of Mathematics", "group_id":"4889", "website":"" }, { "group_name":"Department of Mathematics", "group_id":"3791", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2026\/05\/event_148398_original-1.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2026\/05\/event_148398_original-1.jpg" }, "occurrence_count":1, "first_occurrence":21904185 } , "141325-21903867": { "datetime_modified":"20260518T092015", "datetime_start":"20260605T130000", "datetime_end":"20260605T134500", "has_end_time":1, "date_start":"2026-06-05", "date_end":"2026-06-05", "time_start":"13:00:00", "time_end":"13:45:00", "time_zone":"America\/Detroit", "event_title":"Sky Tonight", "occurrence_title":"", "combined_title":"Sky Tonight", "event_subtitle":"", "event_type":"Exhibition", "event_type_id":"7", "description":"A live presentation on what to find in the sky tonight and for the coming few weeks. This presentation includes how to find the cardinal directions with the North Star, current and upcoming constellations, visible planets, a few deep sky objects depending on the season, and other interesting astronomical visualizations. If you want to be able to look up from your own backyard and know what to look for, this is the show for you.", "occurrence_notes":null, "guid":"141325-21903867@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/141325", "building_id":"1005169", "building_name":"Museum of Natural History", "campus_maps_id":"646", "room":"Planetarium & Dome Theater", "location_name":"Museum of Natural History", "has_livestream":0, "cost":"Tickets are $8 and are available in the museum store on the day of the show.", "tags":["Astronomy","Children","Family","Film","Museum","museums","natural history museum","Natural Sciences","Planetarium","Prospective Undergraduate Students","Science","Space","Undergraduate"], "website":"https:\/\/lsa.umich.edu\/ummnh\/visitors\/planetarium-dome-theater.html#view=week", "sponsors":[ { "group_name":"Planetarium & Dome Theater at the Museum of Natural History", "group_id":"3825", "website":"" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2025\/10\/event_141325_original-1.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2025\/10\/event_141325_original-1.jpg" }, "occurrence_count":180, "first_occurrence":21888620 } , "136347-21903895": { "datetime_modified":"20260518T095230", "datetime_start":"20260605T140000", "datetime_end":"20260605T144500", "has_end_time":1, "date_start":"2026-06-05", "date_end":"2026-06-05", "time_start":"14:00:00", "time_end":"14:45:00", "time_zone":"America\/Detroit", "event_title":"T.REX", "occurrence_title":"", "combined_title":"T.REX", "event_subtitle":"", "event_type":"Film Screening", "event_type_id":"11", "description":"With stunning CGI visuals and the latest research from leading paleontologists, the film offers audiences a fresh perspective on the GOAT (Greatest Of All Tyrants): Tyrannosaurus rex. Anchored by the true story of the young fossil hunters who made the discovery of a lifetime when they spotted a large fossilized leg bone on a walk on public lands in North Dakota, T. REX intercuts the remarkable fossil dig, with cutting edge computer graphics that bring the iconic T. rex to life\u2014from hatchling to hulking adult. Narrated by Jurassic Park actor Sam Neill, T. 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