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DTSTAMP:20260923T111212
DTSTART;TZID=America/Detroit:20261105T150000
DTEND;TZID=America/Detroit:20261105T161500
SUMMARY:Workshop / Seminar:Elevate Your Canvas Courses with DesignPLUS\, Part 2: Interactive Content & Course Building
DESCRIPTION:Have you heard? U-M now has DesignPLUS available in our Canvas instances (including Canvas Catalog). DesignPLUS is a time-saving toolset for every educator and course designer working in the Canvas LMS. It helps you quickly build\, style\, and scale high-quality courses - making learning engaging and accessible.\n\nIn this workshop\, you will build on the skills you gained in Part 1 by exploring DesignPLUS interactive components and content. You'll also learn how to use templates and the Multi-Tool to streamline course development\, helping you create engaging\, consistent\, and well-organized Canvas courses more efficiently.\n\nOutline:\n\n-Organizing and Presenting Course Content with Interactive Elements\n--Creating a module list with quick links\n--Using Accordions\, Expanders\, and Tabs to organize content\n--Adding Tooltips\, Popovers\, and Dialog Boxes for additional information\n\n-Creating Active Learning Experiences with Interactive ExercisesExploring the DesignPLUS Interactive Resources Gallery\n--Using interactive exercises for practice\, review\, and self-check\n--Creating Fill-in-the-Blank\, Quick Check\, and Flashcard activities\n--Accessing Interactive Data\n\n-Building Courses Efficiently with Multi-ToolEnabling Multi-Tool in a Canvas course\n--Creating reusable course templates with Template Builder\n--Using Module Builder to scaffold modules and course content\n--Managing course dates with Due Date Modifier\n\nWrap-up\, Resources\, and Q&A
UID:150189-21915715@events.umich.edu
URL:https://events.umich.edu/event/150189
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Academic Technology At Michigan,Instructional Design,Designplus,Canvas
LOCATION:Off Campus Location
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260917T151354
DTSTART;TZID=America/Detroit:20261105T150000
DTEND;TZID=America/Detroit:20261105T160000
SUMMARY:Other:Grants office hours: Get support applying for one of SSC's Sustainability Grants!
DESCRIPTION:Drop in to our weekly open office hours to learn and get support applying to our Planet Blue Student Innovation Fund (PBSIF) or Social and Environmental Sustainability Grant (SES).
UID:138848-21913647@events.umich.edu
URL:https://events.umich.edu/event/138848
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Social Impact,Student Org,Sustainability,Environment
LOCATION:Off Campus Location - https://umich.zoom.us/my/meetingjunem
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260910T134907
DTSTART;TZID=America/Detroit:20261105T150000
DTEND;TZID=America/Detroit:20261105T170000
SUMMARY:Social / Informal Gathering:Hopwood Tea
DESCRIPTION:Enjoy coffee\, tea\, and refreshments in a beautiful\, book-filled space. Check out a book from the Hopwood library or engage with other readers and writers. All are welcome.
UID:148903-21905162@events.umich.edu
URL:https://events.umich.edu/event/148903
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Well-being,Books,Undergraduate Students,Writing,Ann Arbor,Free,The Helen Zell Writers' Program,Literature,Literary Arts,Hopwood Program,Graduate Students,Creative Writing,English Language And Literature,Food
LOCATION:Angell Hall - 1176 (Hopwood Room)
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20261007T164243
DTSTART;TZID=America/Detroit:20261105T150000
DTEND;TZID=America/Detroit:20261105T160000
SUMMARY:Lecture / Discussion:IOE 899: Oğuzhan Çelebi
DESCRIPTION:District-based elections must reconcile two objectives: representing each district’s electorate and matching the statewide delegation to political support. We study seat allocation rules when these objectives conflict.The optimal rules\, characterized by a cutoff\, form a family ranging from first-past-the-post to proportional representation as the weight on statewide representation increases. Along this path\, gaining further seats through gerrymandering becomes increasingly difficult. The characterization yields a measure of the robustness of first-past-the-post to statewide representation concerns\, which we compare with established electoral diagnostics. In U.S. House elections from 2002 to 2024\, we find that maps drawn by single-party legislatures perform worse than those produced by other institutions\, and Republican-legislature maps fare worse than Democratic-legislature maps. The efficiency gap\, a common partisan-gerrymandering measure\, is more strongly associated with litigated maps than the other measures\, yet it considerably amplifies the Republican-Democratic asymmetry.
UID:153418-21915837@events.umich.edu
URL:https://events.umich.edu/event/153418
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Industrial And Operations Engineering,899 Seminar Series,Graduate,Graduate Students
LOCATION:Industrial and Operations Engineering Building - 1680
CONTACT:
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BEGIN:VEVENT
DTSTAMP:20260909T145456
DTSTART;TZID=America/Detroit:20261105T153000
DTEND;TZID=America/Detroit:20261105T163000
SUMMARY:Workshop / Seminar:IES Energy Seminar Series - Decision Making for Sustainability Using the Objective Reduction Community Algorithm (ORCA)
DESCRIPTION:Abstract: \nMany objective optimization problems (MaOPs)\, defined here as problems with four or more objectives\, inherently arise when designing and operating sustainable process and energy systems. Nonetheless\, MaOPs remain a particularly difficult and understudied problem class owing to challenges in both scalably generating solutions (in the form of a Pareto frontier) and interpreting the solutions we do get. This talk begins by providing a tutorial overview of methods commonly used to generate Pareto frontiers for multi-objective (defined as two or more objectives) optimization problems\, alongside a discussion of why these approaches tend not to scale well when increasing the number of objectives. Then\, I present the Objective Reduction Community Algorithm (ORCA)\, our group’s novel approach for reducing the objective dimensionality of MaOP’s to a manageable two or three a priori to solving the problem. At a high level\, this approach identifies which objectives are likely to be pointing to similar decisions\, embeds this information into a graph\, and uses community detection to partition this graph to give groupings of objectives which are correlated within groups\, but competing between groups. Three case studies are presented which demonstrate the power and efficacy of this approach for sustainable decision making. In the first\, the correlation of planetary boundary objectives within a large scale sustainable fuel supply chain is assessed. The second case study considers changes in objective correlation due to intermittency in objective parameters\, and assesses the correlation between cost and emissions driven industrial demand response for two different electrified chemical processes. The third case study utilizes an extension of ORCA to nonlinear MaOP’s\, showcasing its utility on a commonly used set of benchmark problems with known objective correlations\, the DZLT5 problems\, as well as on a design problem for a carbon capture\, utilization\, and storage network. I conclude by providing some perspective on future applications of our approach to problems of distributed model predictive control and aligned agentic AI systems.\n\nBiography:\nAndrew Allman is currently an assistant professor in the Department of Chemical Engineering at the University of Michigan\, and has been in this position since fall 2020. Andrew is an alumnus of the University of Minnesota Department of Chemical Engineering and Materials Science\, where he obtained his Ph.D. with Prodromos Daoutidis in 2018 and subsequently worked in a post-doctoral position with Qi Zhang from graduation until joining Michigan. His awards include receiving the NSF CAREER Award in 2023\, and the CAST Director’s Student Presentation Award in 2018. His recent research at Michigan has focused on solving many-objective optimization problems\, assessing the operation and control of modular chemical production systems\, embedding machine-learned classifier models to enhance moving horizon decision making\, and solving structure detection problems for networks with constraints or uncertainty for distributed optimization.\n\nFor the most up to date information on the location\, please check the related link the week of this event
UID:147950-21902585@events.umich.edu
URL:https://events.umich.edu/event/147950
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Materials Science,CAEN,Civil and Environmental Engineering,Electrical Engineering and Computer Science,Energy,Engineering,Environment,Free,Industrial and Operations Engineering,Interdisciplinary,Law,Sustainability,Mechanical Engineering,Michigan Engineering,Naval Architecture and Marine Engineering,North Campus,Nuclear Engineering and Radiological Sciences,Research,Science,seminar,Social Sciences
LOCATION:Francois-Xavier Bagnoud Building - FXB1012
CONTACT:
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