- Wed, Sep 27
- Lecture 1: Introduction
- Mon, Oct 2
- Lecture 2: Sampling vs. Counting
- Wed, Oct 4
- Lecture 3: Counting via Determinant; Intro to Markov Chains
- Thu, Oct 5
- Release Homework 1
- Mon, Oct 9
- Lecture 4: Markov Chain Mixing
- Wed, Oct 11
- Lecture 5: Mixing via Transport
- Mon, Oct 16
- Lecture 6: Dobrushin Influence Matrix
- Wed, Oct 18
- Lecture 7: Spectral Analysis
- Thu, Oct 19
- DueHomework 1
- Release Homework 2
- Mon, Oct 23
- Lecture 8: Continuous Time
- Wed, Oct 25
- Lecture 9: Comparison Arguments
- Mon, Oct 30
- Lecture 10: Bipartite Perfect Matchings
- Wed, Nov 1
- Lecture 11: High-Dimensional Expanders
- Thu, Nov 2
- DueHomework 2
- Release Homework 3
- Mon, Nov 6
- Lecture 12: Spectral Independence
- Wed, Nov 8
- Lecture 13: Log-Concave Polynomials
- Mon, Nov 13
- Lecture 14: Zeros of Polynomials
- Wed, Nov 15
- Lecture 15: Stability
- Thu, Nov 16
- DueHomework 3
- Release Homework 4
- Mon, Nov 27
- Lecture 16: Correlation Decay
- Wed, Nov 29
- Lecture 17: Universality
- Thu, Nov 30
- DueHomework 4
- Mon, Dec 4
- Lecture 18: Stochastic Localization
- Wed, Dec 6
- Lecture 19: Continuous Sampling
- Fri, Dec 8
- Report