COS 445

Economics and Computation

Princeton University

 

Instructors: Matt Weinberg (smweinberg@).

 

Graduate TAs: Linda Cai (tcai@cs.), Meryem Essaidi (messaidi@cs.), Orestis Plevrakis (orestisp@cs.), Jake Ross Silverman (jakers@cs.), Clayton Thomas (claytont@cs.), Dingli Yu (dingliy@cs.), Wei Zhan (weizhan@cs.)

 

Undergraduate Course Staff: Rebecca Barber, Nathan Bergman, Ami Berman, Daniel Braga, Kimberly Ding, Jeremy Du, Joshua Gardner, Andrei Graur, Jonathan Jow, Lucy Jing, Frankie Lam, William Li, Kevin Lin, Malika Oak, Tristan Pollner, Carl Sun, Kevin Tsao, Shirley Zhang, Annie Zou.

 

Lectures and Precepts:

Tuesday/Thursday 1:30 – 2:50pm, Friend 101.

Precept P01 (Clay): Thursday 7:30 – 8:20pm, Friend 004.

Precept P01a (Dingli): Thursday 7:30 – 8:20pm, Friend 006.

Precept P02 (Jake): Friday 1:30 – 2:20pm, Friend 008.

Precept P03 (Wei): Friday 2:30 – 3:20pm, Friend 008.

Precept P04 (Linda): Wednesday 7:30 – 8:20pm, Friend 004.

Precept P05 (Meryem): Wednesday 7:30 – 8:20pm, Friend 006.

 

Office Hours:

Mondays 1-2pm, 194 Nassau St, Room 217: Jake, Wei.

Mondays 3:30-4:30pm, 194 Nassau St, Room 217: Clay, Meryem.

Mondays 5-6pm, CS Building, Room 301: Linda, Orestis.

Mondays 6-7pm, CS Building, Room 301: Dingli, Orestis.

Tuesdays 8:15-9:15am, 194 Nassau St, Room 246: Meryem.

Tuesdays 3-4pm, 194 Nassau St, Room 222: Matt.

Wednesdays 4:30-5:30pm, 194 Nassau St, Room 217: Linda.

Wednesdays 6pm-7pm, CS Building, Room 313: Orestis.

Thursdays 3-4pm, 194 Nassau St, Room 222: Matt.

Thursdays 5:30-6:30pm, 194 Nassau St, Room 245: Clay.

 

Thursdays 6:30-7:30pm, CS Building, Room 315: Dingli.

Fridays 10:30 – 11:30am, 194 Nassau St, Room 244: Wei.

Fridays 3:30 – 4:30pm, Friend Center, Room 010: Jake.

 

 

Piazza: https://piazza.com/class/k5u131sc5pc6qh.

 

Course Policy: 445 Course Policies.

 

Homework: Homeworks will be posted below when they become available. Here is a LaTeX template you may use for the homework, and here is a short guide to LaTeX. Feel free to visit office hours for help installing/setting up LaTeX.

 

Submit all PDF assignments to codePost here: codePost.

 

Miscellaneous Material:

-         A "cheatsheet" for math required for this course.

-         An "FAQ" on what to expect from this course.

-         Guidelines for how Strategy Designs are graded: Strategy Design Grading Guidelines.

 

Lecture Notes: Below is a table with a tentative plan for each lecture and corresponding reading material. Some shorthand for the reading material:

Rx = Tim Roughgarden's lecture notes x.

KPx = Karlin and Peres chapter x.

EKx = Easley and Kleinberg chapter x.

NRTVx = Nisan, Roughgarden, Tardos and Vazirani chapter x (Click link --> resources --> Algorithmic Game Theory --> Algorithmic Game Theory).

BCELPx = Brandt, Conitzer, Endriss, Lang, Procaccia chapter x (Click link --> resources --> resources --> online version. To find the password, visit Vince Conitzer's webpage).

 

 

Date

Topic

Supplemental Reading Material

2/4

Braess' Paradox, Stable Matching I

https://en.wikipedia.org/wiki/Braess'_paradox

R1, R2, KP10.1, KP10.2, NRTV10.4

2/6

Stable Matching II

R1, R2, KP10.3, NRTV10.4

2/11

Matching III

KP10.4, NRTV10.3

2/12

Matching IV

This paper

2/18

Voting Theory I

KP13 BCELP2

2/20

Voting Theory II

R4, BCELP2, EK23.6, NRTV10.2

2/25

Game Theory I

KP4, R5, EK6

2/27

Game Theory II

KP 4, KP6, R5

3/4

Linear Programming

Sections 1 & 4 here

3/6

Game Theory III

KP2

3/11

Information Cascades

EK16

3/13

Scoring Rules

R17

3/18

Spring Break

 

3/20

Spring Break

 

3/25

Auction Theory I

R13, EK9.1-9.5

3/27

Auction Theory II

R14, R15, KP 15.1-15.3

4/1

Auction Theory III

R14, R16, EK9.7

4/3

Auction Theory IV

KP14.4, KP14.6

4/8

Cryptocurrencies I

Chapter 1

4/10

Cryptocurrencies II

``Selfish Mining'' attack, notes on Piazza

4/15

Cryptocurrencies III

``Selfish Mining'' attack, notes on Piazza

4/17

Cake Cutting

BCELP13, KP11

4/22

Price of Anarchy I

R7, NRTV18.1-18.3, KP8.1, KP8.4

4/24

Price of Anarchy II

R7, NRTV18.1-18.3, KP8.1, KP8.4

4/29

Behavioral Game Theory I

Notes on Piazza, R19

5/1

Behavioral Game Theory II

R19