Course Identification
Topics in Algorithmic Game Theory
Lecturers and Teaching Assistants
Prof. Uriel Feige, Prof. Shahar Dobzinski
Course Schedule and Location
Second Semester
Monday, 14:15 - 16:00, Jacob Ziskind Building, Rm 155
13/04/2026
Field of Study, Course Type and Credit Points
Mathematics and Computer Science: Lecture; Regular; 2.00 points
Attendance and participation
Grade Breakdown (in %)
type of exam/final assigment to be decided
Scheduled date 1
22/07/2026
Scheduled date 2
03/08/2026
Estimated Weekly Independent Workload (in hours)
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.