BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//UM//UM*Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:America/Detroit
TZURL:http://tzurl.org/zoneinfo/America/Detroit
X-LIC-LOCATION:America/Detroit
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20070311T020000
RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20071104T020000
RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20260205T094931
DTSTART;TZID=America/Detroit:20260211T160000
DTEND;TZID=America/Detroit:20260211T173000
SUMMARY:Lecture / Discussion:Brewing a Revolution: How Coffee Transformed the Early United States
DESCRIPTION:Wednesday\, February 11\, 2026\n\nCoffee is among the most common goods traded and consumed worldwide\, and so omnipresent its popularity is often taken for granted. But even everyday habits have a history. When and why coffee became part of North American daily life is at the center of the recently published book\, Coffee Nation: How One Commodity Transformed the Early United States\, by Michelle Craig McDonald. Using a wide range of archival\, quantitative\, and material evidence\, McDonald follows coffee from the slavery-based plantations of the Caribbean and South America\, through the balance sheets of Atlantic world merchants\, into the coffeehouses\, stores\, and homes of colonial North Americans\, and ultimately to the growing import/export businesses of the early nineteenth-century United States that rebranded this exotic good as an American staple. The result is a sweeping history that explores how coffee shaped the lives of enslaved laborers and farmers\, merchants and retailers\, consumers and advertisers.
UID:143507-21893308@events.umich.edu
URL:https://events.umich.edu/event/143507
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:United States At 250,History,Free,Discussion,Culture,american history,american culture
LOCATION:Hatcher Graduate Library
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260209T115514
DTSTART;TZID=America/Detroit:20260211T160000
DTEND;TZID=America/Detroit:20260211T180000
SUMMARY:Lecture / Discussion:Distinguished University Professorship Lecture Series
DESCRIPTION:Sponsored by the Office of the President and the Office of the Provost\, this event features three Distinguished University Professors speaking on their professional and scholarly experiences. Each concise lecture will be followed by a brief Q & A.\n\n“Weave Patterns and Projective Geometry” by Sergey Fomin (Richard P. Stanley Distinguished University Professor of Mathematics and Professor of Mathematics\, College of Literature\, Science\, and the Arts).\n\n“Battery Middle Life Crisis and Decisions” by Anna Stefanopoulou (Huei Peng Distinguished University Professor of Mechanical Engineering\, William Clay Ford Professor of Technology\, Professor of Mechanical Engineering\, Professor of Electrical Engineering and Computer Science\, College of Engineering).\n\n“Rebels\, Repressors\, Regular Folk and Me: A 30 Year Reflection of the last 75 years (in 20 Minutes)” by Christian Davenport (Charles Tilly Distinguished University Professor of Political Science\, Professor of Political Science and Department of AfroAmerican and African Studies\, College of Literature\, Science\, and the Arts Professor of Public Policy\, Gerald R. Ford School of Public Policy).
UID:143337-21892923@events.umich.edu
URL:https://events.umich.edu/event/143337
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Reception,african and afroamerican studies,dup,lecture,AEM Featured
LOCATION:Michigan Union - Rogel Ballroom | Second Floor
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20251121T161301
DTSTART;TZID=America/Detroit:20260211T160000
DTEND;TZID=America/Detroit:20260211T170000
SUMMARY:Workshop / Seminar:Mean-field analysis for the training of overparameterized Deep ResNet
DESCRIPTION:In this talk\, I will present the mean-field analysis framework for overparameterized Deep ResNets. I will first establish the rigorous convergence of the finite-width training dynamics to their mean-field limit and then discuss an application of this limit process that demonstrates the convergence of the training dynamics.
UID:142129-21890040@events.umich.edu
URL:https://events.umich.edu/event/142129
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Mathematics
LOCATION:East Hall - 1360
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260209T093048
DTSTART;TZID=America/Detroit:20260211T160000
DTEND;TZID=America/Detroit:20260211T170000
SUMMARY:Workshop / Seminar:Student AIM Seminar: Error Recovery in Shannon-Whittaker Sampling
DESCRIPTION:The Shannon-Whittaker sampling theorem provides an exact digitization of an analog signal (a scalar function of a single variable). It is not immediately obvious that this digitization is robust against error in the sampled signal values. We will present an algorithm which shows that for certain types of sample error\, the Shannon-Whittaker sampling formula can be modified to recover a signal exactly even in the presence of error. We will also present several extensions of the Shannon-Whittaker sampling formula which make error recovery more stable in practice. Along the way\, we will also discuss aspects of frame theory\, which extend the idea of a basis for a vector space. Frames allow for information redundancy\, making them much more robust against noise than an ordinary basis.
UID:143957-21894312@events.umich.edu
URL:https://events.umich.edu/event/143957
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Applied Mathematics
LOCATION:East Hall - 3088
CONTACT:
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260324T085405
DTSTART;TZID=America/Detroit:20260211T160000
DTEND;TZID=America/Detroit:20260211T170000
SUMMARY:Meeting:Unpacking the News with U-M Faculty Experts
DESCRIPTION:Each session offers a space to pause\, sort out what’s happening\, and engage in thoughtful\, civil discussion with peers. Bring your questions\, your curiosity\, and your perspective—no preparation required.\n\nJosh Pasek is Professor of Communication & Media and Political Science\, Faculty Associate at the Center for Political Studies\, Institute for Social Research\, and Associate Director of the Michigan Institute for Data Science at the University of Michigan.
UID:143802-21894057@events.umich.edu
URL:https://events.umich.edu/event/143802
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Civic Engagement,Civic Learning,Culture,Education,Free,In Person,Media,Politics,Social Impact,Talk,Undergraduate
LOCATION:Michigan League - Room 4
CONTACT:
END:VEVENT
END:VCALENDAR