Projects

Tuesday, 22 January: Project 1: Housing Price Prediction - Warm-up, predictions from data
Tuesday, 5 February: Project 2: Housing market predictions - Causality
Friday, 22 February (3:59pm): Project 3: Matchmaker, matchmaker - Centralized resource allocation (Kidney Exchange)
Thursday, 28 March: Project 4: Online Auction Overture - Auction strategies

Final Project

Thursday, 11 April: Final Project Proposal (8:59pm)
week of 15 April: Project Team Meetings
Tuesday, 30 April: Final Project Presentation (in class)
Monday, 6 May: Final Project Reports Due (4:59pm)

Classes

15 January: Class 1: Introduction
17 January: Class 2: Does Cancer Cause Smoking?
22 January: Class 3: Statistical Learning Theory
24 January: Class 4: Empirical Risk Minimization
29 January: Class 5: Causal Inference
31 January: Class 6: Finding False Findings (Experiments)
05 February: Class 7: Stable Matchings
07 February: Class 8: Centralized Resource Allocation
12 February: Class 9: Linear Programming
14 February: Class 10: Introduction to Game Theory
19 February: Class 11: Incomplete Infomration Games
21 February: Class 12: Imperfect Information Games
26 February: Class 13: Auctioning Air
28 February: Class 14: Auction Theory
04 March: Class 15: Online Advertising
06 March: Class 16: Auctions with Integrity
19 March: Class 17: Algorithmic Mechanism Design
21 March: Class 18: Hardness of Auctions
26 March: Class 19: Mechanism Design
28 March: Class 20: Mechanism Design
02 April: Class 21: Economics of Information
04 April: Class 22: Visit from Joeseph Calandrino, Research Director, Federal Trade Commission
09 April: Class 23: Project Discussion
11 April: Class 24: Privacy
16 April: Class 25: Privacy and Incentives
18 April: Class 26: Project Progress Meetings
23 April: Class 27: Cryptocurrency
25 April: Class 28: Information and Crime
30 April: Project Presentations