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
Name | Office Hours | |
---|---|---|
Sebastien Roch | When? Where? |