Class Meetings

Tuesdays and Thursdays, 9:30-10:45AM, MEC 213.

Office Hours

Cameron Lloyd, Mondays, 6-7:30pm (Rice 442)
Denis Nekipelov, Tuesdays, 11am-12:30pm (Monroe 254)
Kyeongtak Do, Thursdays, 11am-12:30pm (Monroe Basement)
David Evans, Fridays, 8:30-10:00am (Rice 507)

Projects

Tuesday, 21 January: Project 1: Predictions from Data (warm-up)
Tuesday, 4 February: Project 2: Market Predictions
Tuesday, 18 February: Project 3: Allocating Kidneys
Tuesday, 3 March: Project 4: On-Line Auctions

Final Project

Tuseday, 24 March: Team and General Idea (see Class 16)
Wednesday, 1 April: Project Proposal
Thursday, 9 April: Progress Report
Tuesday, 28 April: Final Project Submission
Wednesday, 29 April: Final Project Presentation

Classes

14 January: Class 1: Introduction

Causation

16 January: Class 2: Why do we need causal inference?
21 January: Class 3: Introduction to Statistical Learning Theory
23 January: Class 4: Cost of Empirical Risk Minimization
28 January: Class 5
30 January: Class 6: Experiments and False Findings

Centralized Resource Allocation

04 February: Class 7: Matching without Markets (Stable Matching)
06 February: Class 8: Centralized Resource Allocation
11 February: Class 9: Kidney Exchange
13 February: Class 10: Graph Theory

Distributed Resource Allocation

18 February: Class 11: Game Theory
20 February: Class 12: Imperfect Information Games
25 February: Class 13: Auction Theory
27 February: Class 14: Poker Wrap-up, Auction Theory
03 March: Class 15: In-Class Auction, Auction Theory
05 March: Class 16: Auction Results, Project Ideas

Classes Under Lockdown

19 March: Class 17: Class Meeting
24 March: Class 18: Project Ideas
26 March: Class 19: Tammy Wang
31 March: Class 20: Peer Effects
02 April: Class 21: Joseph Calandrino
07 April: Class 22: Privacy in the Age of Coronavirus
09 April: Class 23: Adam Davis
12 April: Class 24: Project Progress Reports 14 April: Class 25: Project Progress Reports 21 April: Class 26: Network Contagion