Hi Ilias:
I wonder if you could forward this to the theory students.
Thanks,
-Sbt
From:
SEBASTIEN ROCH <roch@xxxxxxxxxxxxx>
Date: Monday, April 3, 2023 at 8:18 AM
To: ifds-wisc-events@xxxxxxxxxxxxxxxxx <ifds-wisc-events@xxxxxxxxxxxxxxxxx>
Subject: Fall 2023 Course Announcement: MATH/STAT 833 Modern Discrete Probability
FALL 2023 COURSE ANNOUNCEMENT
MATH/STAT 833: Topics in Probability
Modern Discrete Probability: An Essential Toolkit
Instructor: Sebastien Roch
Time: MWF 11:00-11:50 AM
Course website:
https://people.math.wisc.edu/~roch/mdp/
The goal of this course is to provide an introduction to fundamental models and techniques in graduate-level discrete probability. Topics will be taken largely from
probability on graphs: percolation, random graphs, Markov random fields, random walks on networks and finite Markov chains, etc. No attempt will be made at covering these areas in depth. Rather the emphasis will be on developing and illustrating common
and important techniques. Various applications, in particular in the theoretical foundations of data science, will also be discussed along the way.
The course is aimed at graduate students in mathematics, statistics, computer science, engineering, etc. with previous exposure to basic probability theory and stochastic processes (ideally measure-theoretic
probability theory, e.g., Math 733 or Stat 709).
More details, as well as lecture notes, are available on the course website.
![[Computer Systems Lab]](http://www.cs.wisc.edu/pics/csl_logo.gif){kind=logo}