Course Identification

Topics in Algorithmic Game Theory
20264172

Lecturers and Teaching Assistants

Prof. Uriel Feige, Prof. Shahar Dobzinski
Vadim Grinberg

Course Schedule and Location

2026
Second Semester
Monday, 14:15 - 16:00, Jacob Ziskind Building, Rm 155
13/04/2026
29/06/2026

Field of Study, Course Type and Credit Points

Mathematics and Computer Science: Lecture; Regular; 2.00 points

Comments

N/A

Prerequisites

No

Restrictions

50

Language of Instruction

English

Attendance and participation

Expected and Recommended

Grade Type

Numerical (out of 100)

Grade Breakdown (in %)

20%
80%
type of exam/final assigment to be decided

Evaluation Type

Examination

Scheduled date 1

22/07/2026
Ziskind, Rm 1
1000-1300
N/A

Scheduled date 2

03/08/2026
Ziskind, Rm 1
1000-1300
N/A

Estimated Weekly Independent Workload (in hours)

3

Syllabus

We will discuss topics in algorithmic game theory, including solution concepts (such as minimax and Nash equilibrium) and the complexity of computing them, mechanism design, price of anarchy, fair division, auctions, and more.

Learning Outcomes

The students will get familiar with basic concepts and key results in algorithmic game theory, and will be exposed to open questions that lead to potential research directions.

Reading List

N/A

Website

N/A