The course is held in distance mode.

Noncooperative game theory: rationality, dominance, Nash equilibrium, static games, dynamic games, repeated games, games of incomplete information.

Students can describe what game theory is, how it emerged and where it can be applied. Students understand the problems that arise when going from optimization (singe-player games) to strategic interaction (proper games). They master the methods required to analyze static and dynamic games and are capable of computing and interpreting equilibria in simple games. Students are able to identify game theoretic problems from social and economic life. They can apply learned methods to understand incentives and strategic motives of players.

You may miss one of the MS Teams units.

The lectures will be divided into two parts: in the first part, students present their solution to the home exercise. In the second part the lecturer presents material using slides which will be made available to students. At the end of the semester there will be a written exam. The basis for the final exam consists of the slides and the additional material discussed.

The final mark consists of three parts: (A) points from active participation, i.e. answers to questions arising during the lecture as well as useful comments and questions, (B) points from presenting solutions to home exercises, and (C) final exam. The weighting of the final mark will be 10% A, 20% B and 80% C. The total percentage points required for marks 4,3,2, and 1 are 50.0%, 62.5%, 75.0%, and 87.5%.

Basic experience in mathematics and formal reasoning is required.