My first ever course in statistical physics perspectives and connection to algorithms and combinatorics. It is SUPER COOL.
Course homepage: https://willperkins.org/2025-CS8803/
My Lecture Notes (To be updated)
While designing learning algorithms (“model-centric” ML) is a relatively mature subject, methods and best practices around what data/information to use and how to use it are underdeveloped. Over the past few years, there has been an increasing appreciation for the importance of and need for such “data-centric" machine learning knowledge. In this course, we will delve into data-centric machine learning by exploring published research and acquiring hands-on experience by building a semester-long team research project.
My first ever course in MCMC method.
Course homepage: https://sites.gatech.edu/zongchenchen/cs8803fall24/
My first ever course in Logic.
My first ever course in Absorption method. Wish I can have a paper using it.
Hardest course I ever take, but learned a lot !!!
One of my favorite course, very useful to my own research. And I have one "The Probabilistic Method" signed by Both Jeol Spencer and Noga Alon !!!
Lecture notes is handwritten.
My first ever course in Combinatorics. We studied Classic counting problems, permutation, the pigeonhole principle, binomial coefficients, The inclusion–exclusion principle, generating functions.
Lecture notes is handwritten.
My first ever course in graph theory.This is a serious introductory course about properties and applications of graphs. We study graph-theoretic concepts such as paths, Eulerian circuits, trees, distance, matchings, connectivity, network flows, colorings, planarity, and spanning cycles.
Lecture notes is handwritten.