Schedule

   
Date Chapter Topic Assignment
T 1/20   Course Overview  
Th 1/22 1 Basic Solution Concepts and Computational Issues  
T 1/27 1 Basic Solution Concepts and Computational Issues  
Th 1/29 2 The Complexity of Finding Nash Equilibria  
T 2/3 3 Equilibrium Computation for Two-Player Games in Strategic and Extensive Form  
Th 2/5 4 Learning, Regret Minimization, and Equilibria 1 out
T 2/10 4 Learning, Regret Minimization, and Equilibria  
Th 2/12 5 Combinatorial Algorithms for Market Equilibria  
T 2/17 5 Combinatorial Algorithms for Market Equilibria  
Th 2/19 6 Computation of Market Equilibria by Convex Programming  
T 2/24 9 Introduction to Mechanism Design (for Computer Scientists) 1 in, 2 out
Th 2/26 9 Introduction to Mechanism Design (for Computer Scientists)  
T 3/3 10 Mechanism Design without Money  
Th 3/5 11 Combinatorial Auctions  
T 3/10 11 Combinatorial Auctions  
Th 3/12 12 Computationally Efficient Approximation Mechanisms 2 in, 3 out
T 3/17   SPRING BREAK  
Th 3/19   SPRING BREAK  
T 3/24 13 Profit Maximization in Mechanism Design  
Th 3/26 13 Profit Maximization in Mechanism Design project proposal in
T 3/31 14 Distributed Algorithmic Mechanism Design  
Th 4/2 14 Distributed Algorithmic Mechanism Design 3 in, 4 out
T 4/7 15 Cost Sharing  
Th 4/9 16 Online Mechanisms  
T 4/14 16 Online Mechanisms  
Th 4/16   Research Presentation  
T 4/21 17 Introduction to the Inefficiency of Equilibria 4 in, 5 out
Th 4/23 18 Routing Games  
T 4/28 26 Computational Aspects of Prediction Markets  
Th 4/30 28 Sponsored Search Auctions project in
T 5/5 28 Sponsored Search Auctions  
Th 5/7   Research Presentation 5 in