This file can be used to add scheduled events to your calendar, however every program is unique. Below you will find what information is available, but if nothing else works try creating a new calendar in your program and using
http://math.colorado.edu/seminars/ics/slow.ics
as the source.
Thunderbird
The Graduate Student Seminar (GSS) is an opportunity for grad students to give general interest talks to an audience of other grad students in a low-pressure environment. GSS talks are typically 50 minutes long and accessible to a general mathematical audience. We encourage everybody to give a talk! Some ideas include existing talks from undergrad research, REUs, or a Masters program, practice for upcoming conference talks, educational talks about material you've been studying for your comprehensive exam, or just presentations on a recreational mathematical topic you know a lot about.
For inquiries, contact Nicholas Christoffersen or sign up directly with this form
What makes a function earn the title of a zeta function? We will start by looking at the Riemann zeta function, and then generalizations of it and see that if it walks like a zeta function and quacks like a zeta function, then its a zeta function
Tori are cool. Varieties are dope. Fans are… related somehow? Prepare to dive into the world of Toric Varieties, which are varieties with a torus embedded inside. We’ll see how lots of our favourite examples of varieties are actually toric varieties, and also how a Toric Variety can be defined from the combinatorial data of a fan (the type used in the 18th century on a hot day). I’ll define everything, but having taken AG1 or knowing what Spec(R) is for a ring R will be an advantage.
The legal standard set in Rucho v Common Cause puts the onus on the plaintiffs in a Voting Rights Act (VRA) case to demonstrate that a map is a racial rather than a partisan gerrymander in order for it to be struck down as unlawful. This means plaintiffs have to 'do the homework' of the defendants for them: they must produce a map that is at least as politically gerrymandered as the defendants drew, while achieving better racial representation outcomes. In this talk I will describe how Markov Chain Monte Carlo (MCMC) methods are typically used to solve these problems, and use this opportunity to describe the underlying mathematics.