Algorithmic Game Theory
This module handbook serves to describe contents, learning outcome, methods and examination type as well as linking to current dates for courses and module examination in the respective sections.
IN2239 is a semester module in English language at Bachelor’s level and Master’s level which is offered in summer semester.
This Module is included in the following catalogues within the study programs in physics.
- Catalogue of non-physics elective courses
|Total workload||Contact hours||Credits (ECTS)|
|150 h||60 h||5 CP|
Content, Learning Outcome and Preconditions
- understand the foundations of algorithmic game theory,
- analyze different representations of n-player games,
- compute and discuss various solutions concepts,
- reason about the computational complexity of these solution concepts, and
- analyze and sketch simple algorithms to find solutions for game-theoretic problems.
Courses, Learning and Teaching Methods and Literature
Courses and Schedule
|VO||2||Algorithmic Game Theory (IN2239)||Brandt, F.||
Tue, 14:00–16:00, Interims I 101
|UE||2||Exercise for Algorithmic Game Theory (IN2239)||
Assistants: Saile, C.
|dates in groups|
Learning and Teaching Methods
Martin Osborne and Ariel Rubinstein: A Course in Game Theory (MIT Press, 1994)
Robert Aumann: Game Theory, in J. Eatwell, M. Milgate, and P. Newman: The New Palgrave, A Dictionary of Economics, Vol. 2 (MacMillan, 1987)
Yoav Shoham, Kevin Leyton-Brown: Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations (Cambridge University Press, 2009)
Description of exams and course work
- identify a given game-theoretic problem,
- establish connections to related questions discussed in the lectures, and
- find solutions to these problems within a given time limit.
Furthermore, based on APSO Section 6 Subsection 5(2), there are voluntary online mid-term exercises. The grade for these exercises can be used to improve the grade of a passed exam, i.e., if you pass the exam and your midterm grade is better than your exam grade, then your final grade will be the 80:20 weighted average of your exam grade and your midterm grade.
Current exam dates
Currently TUMonline lists the following exam dates. In addition to the general information above please refer to the current information given during the course.
|Algorithmic Game Theory|
|Mi, 7.8.2019, 10:30 bis 12:30||Interims II: 003
Interims II: 004
|Import||bis 30.6.2019 (Abmeldung bis 31.7.2019)|