Description
The goal of this course is to give an introduction to fundamental models and techniques in graduate-level modern discrete probability. Topics are taken mostly from probability on graphs: percolation, random graphs, Markov random fields, random walks on graphs, etc. No attempt is made at covering these areas in depth. Rather the emphasis is on developing and illustrating common and important techniques. Various applications, in particular in the theoretical foundations of data science and machine learning, are also discussed along the way.
General Information
Time and place
MWF 11:00 AM - 11:50 AM
B119 Van Vleck Hall
B119 Van Vleck Hall
Instructor
Sebastien Roch
Use Piazza for all communications
Use Piazza for all communications
Office hours
To be announced
Office hours will start after Sep 11
Office hours will start after Sep 11
Announcements
In-person lecture today (Nov 22)
11/22/2023, 8:30:22 AM
There will be an in-person lecture today in 833.
(I will be coming over from a defense on the other side of campus, so I may be a little late.)
Video lecture for Nov 20
11/20/2023, 10:45:14 AM
Background on coupling (slides are here)
No in-person lecture today (Oct 20)
10/20/2023, 8:48:34 AM
There is no in-person lecture today. Instead, see @23.
Name | Office Hours | |
---|---|---|
Sebastien Roch | When? Where? |