# Schedule
This is a directed study course in Computer Science. In Fall 2025, the topic is dynamic mechanism design, where a designer modifies a repeated or Markov game to incentivize the players to use a strategy profile the designer wants them to use.
| Week |
Date |
Topic |
Notes |
| 1 |
- |
Bayesian Games |
W1 |
| 2 |
- |
Bayesian Nash Equilibrium |
W2 |
| 3 |
- |
Repeated Games |
W3 |
| 4 |
- |
Folk Theorem |
W4 |
| 5 |
- |
Incentive Compatibility |
W5 |
| 6 |
- |
Dynamic Implementability |
W6 |
| 7 |
- |
Dynamic Mechanism Design |
W7 |
| 8 |
- |
Project |
W8 |
| 9 |
- |
Project |
W9 |
| 10 |
- |
Project |
W10 |
| 11 |
- |
Project |
W11 |
| 12 |
- |
Project |
W12 |
| 13 |
- |
Project |
W13 |
| 14 |
- |
Project |
W14 |
| 15 |
- |
Project |
W15 |
Notes from previous semesters:
📗 Multi-agent deep learning:
Link 📗 Multi-agent discrete state:
Link 📗 Single-agent deep learning:
Link 📗 Partial Observability:
Link
Textbooks: (main) Game and Mechanism Design:
Link.