Universität Wien

040066 KU Game Theory (MA) (2023S)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 08.03. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 08.03. 18:30 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 09.03. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 15.03. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 15.03. 18:30 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 16.03. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 22.03. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 22.03. 18:30 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 23.03. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 29.03. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 29.03. 18:30 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 30.03. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 19.04. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 19.04. 18:30 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 20.04. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 26.04. 18:30 - 20:00 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 27.04. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 03.05. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 03.05. 18:30 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 04.05. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 10.05. 18:30 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 11.05. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 17.05. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 17.05. 18:30 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 24.05. 18:30 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 25.05. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 31.05. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 31.05. 18:30 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 01.06. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 07.06. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 07.06. 18:30 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 15.06. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Wednesday 21.06. 16:45 - 18:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Wednesday 21.06. 18:30 - 20:00 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Thursday 22.06. 18:30 - 20:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Thursday 22.06. 20:15 - 22:00 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

The objective of this course is to learn how to master game theory and how to apply it to modelling information. Game theory is the theory of making decisions when outcomes are influenced by others making decisions. Games will be played in class to help gain intuition. There will be real life examples (such as auctions, market entry, public good provision) but the main emphasis is on the methodology, the mathematics of strategic decision making. Information Economics brings in the aspects of how to make strategic choices when there is uncertainty.
Game theory topics we will be covering include
1. Utility, uncertainty, risk, decision making and rationality
2. Games, strategies and timing
3. Dominance, iterated dominance, rationalizability
4. Extensive form games with perfect information, backwards induction
5. Nash equilibrium
6. Subgame perfection, forward induction
7. Repeated games, folk theorem
8. Bayesian games
Information Economics topics we will be covering include
1. Moral hazard
2. Adverse selection

Assessment and permitted materials

There will be a midterm and a final exam. Each will count 35% of the grade, the remaining 30% will be the homeworks. There may also be a short written assignment over the easter break that counts as part of the homeworks. Some homeworks may be submitted in groups of two, other homeworks have to be worked on alone. The specific rules are described on each homework assignment sheet. No copying homeworks of others. If you only want a separate grade for the exercises, you need special permission from the vice dean of studies. These students may not submit the homeworks in groups, will be given a shorter midterm and final exam. Their homeworks count 2/3 of the grade, the midterm and final only 1/3.

Students wishing to do so, will be offered a "makeup possibility” for the final exam. The date for this makeup will be end of September. This makeup exam will be counted instead of the final, hence the grade can be improved and worsened.

Minimum requirements and assessment criteria

In both exams you may use your hand written course notes. The course is passed if sufficiently many points are gathered that identify that the participant has attained a minimal understanding of the material.

Mid-Term: April 19, 2023 16:45-20:00
End-Term: June 22, 2023 18:30 -

Examination topics

The topics are listed in the paragraph on aims, contents and methods of the course.

Reading list

Kokesen, L. and E. Ok. 2007. An Introduction to Game Theory. Online lecture notes
https://sites.google.com/view/lkockesen/home/teaching/undergraduate-game-theory?authuser=0
Fudenberg, D. and J. Tirole. 1991. Game Theory. MIT Press
Mas-Colell, A., M.D. Whinston and J.R. Green. 1995. Microeconomic Theory. Oxford University Press (only selected chapters)
Osborne Rubinstein book:
http://ebour.com.ar/pdfs/A%20Course%20in%20Game%20Theory.pdf

Association in the course directory

Last modified: Fr 30.06.2023 08:46