CSCI 357 - Fall 2020

Algorithmic Game Theory

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Lectures

CSCI 357 Glow course contains lecture-specific readings, links to lecture recordings, etc.

Date Topic
Sept 10Lecture 1. Introduction and Logistics. | Slides
Sept 15Lecture 2. Normal-Form Games. | Slides
Sept 17Lecture 3. Mixed-Strategy Nash. | Slides
Sept 22Lecture 4. Introduction to Auctions. | Slides
Sept 24Lecture 5. Bayes Nash. | Slides
Sept 29Lecture 6. Myerson's Lemma. | Slides
Oct 1Lecture 7. Revenue Equivalence. | Slides
Oct 6Lecture 8. Revelation Principle and VCG. | Slides
Oct 8Lecture 9. Revenue Maximization. | Slides
Oct 15Lecture 10. Sponsored Search Markets. | Slides
Oct 20Lecture 11. Matching Markets. | Slides
Oct 22Lecture 12. Matching Markets w/o Money. | Slides
Oct 27Lecture 13. Voting and Social Choice | Slides
Oct 29Lecture 14. Voting & Social Choice (Cont) | Slides
Nov 3Lecture 15. Sequential-Move Games | Slides
Nov 5Lecture 16. Incentives in P2P | Slides
Nov 10Lecture 17. Incentives in Network Routing | Slides
Nov 12Lecture 18. Incentives in BGP Routing and Review | Slides
Nov 23Lecture 19. Project Advice & Spectrum Auctions | Slides
Dec 3Lecture 20. Incentives in Cryptocurrencies | Slides