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DTSTAMP:20250203T181531
DTSTART;TZID=America/Detroit:20250227T150000
DTEND;TZID=America/Detroit:20250227T170000
SUMMARY:Workshop / Seminar:Creating Neuroinclusive Classrooms through Universal Design for Learning
DESCRIPTION:Institutions of higher learning are more diverse than ever before\, and many educators are eager to understand how to best support the wide variety of backgrounds\, needs\, and preferences that will be present in their future classrooms. This training will focus on universal design for learning (UDL) as a framework for accessibility and inclusion—a fluid\, proactive approach to education that emphasizes a mindset of designing and teaching to the edges\, rather than concrete perfection. While UDL benefits all learners\, this session will focus more closely on its benefits for neurodivergent students. To better understand this intersection\, the workshop will provide an introduction to common neurodivergent profiles (such as autism\, learning disabilities/disorders\, and ADHD) before transitioning to an overview of the three pillars of UDL that are the new “ERA” of accessibility and inclusion. Content will cover a combination of theory and its connection to attendees’ roles\, real-world support strategies\, and activities focused on deeper and experiential learning. Attendees should come prepared to participate!\nPresented by: Emily J. Helft\, Ed.S.\, Assistant Director for Professional Development at Landmark College\nRegistration is required at https://myumi.ch/ZDP4X.\nWe want to ensure full and equitable participation in our events. If an accommodation would promote your full participation in this event\, please follow the registration link to indicate your accommodation requirements. Please let us know as soon as possible in order to have adequate time\, preferably one week\, to arrange for your requested accommodations or an effective alternative.
UID:132267-21870683@events.umich.edu
URL:https://events.umich.edu/event/132267
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Graduate Students,Diversity
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20250123T125001
DTSTART;TZID=America/Detroit:20250227T150000
DTEND;TZID=America/Detroit:20250227T170000
SUMMARY:Social / Informal Gathering:Hopwood Tea
DESCRIPTION:All are welcome to tea\, coffee\, light refreshments\, and conviviality in a beautiful\, historic setting.
UID:124348-21868971@events.umich.edu
URL:https://events.umich.edu/event/124348
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Hopwood Program,Contemporary Literature,Literary Arts,The Helen Zell Writers' Program,Undergraduate Students,Writing,Books,Creative Writing,Department Of English Language And Literature,Faculty,Food,Free,Graduate Students
LOCATION:Angell Hall - 1176 (Hopwood Room)
CONTACT:
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DTSTAMP:20250219T112227
DTSTART;TZID=America/Detroit:20250227T150000
DTEND;TZID=America/Detroit:20250227T160000
SUMMARY:Workshop / Seminar:IOE 899: Stochastic approaches to guide generative models and applications
DESCRIPTION:About the speaker: Wenpin Tang is currently Tang Family Assistant Professor of Industrial Engineering and Operations Research\, Columbia University. He works at the intersection of stochastic analysis\, machine learning and quantitative finance. His primary research areas are continuous-time stochastic processes and probabilistic ranking models. Tang’s current research interest is to improve the efficiency of machine learning algorithms using stochastic tools\, and to develop robust AI methodology for the emerging fintech market. Examples include diffusion generative modeling\, analysis and design of blockchain mechanisms\, and the curse of dimensionality in large interacting particle systems.\n\n Abstract: Recently\, there has been growing interest in guiding\, or fine tuning pretrained diffusion models or LLMs for specific purposes\, e.g.\, aesthetic quality of images\, functional property of proteins\, and downstream tasks in finance and operations management. In this talk\, I will discuss several (principled) approaches\, encompassing conditional guidance\, regularization and reinforcement learning. Some applications will also be presented. The talk is based on a series of joint work with my students Haoxian Chen and Hanyang Zhao\, as well as my colleagues David Yao\, Henry Lam.
UID:132902-21872050@events.umich.edu
URL:https://events.umich.edu/event/132902
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Industrial And Operations Engineering,Michigan Engineering,seminar
LOCATION:Industrial and Operations Engineering Building - G690
CONTACT:
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