Game Theory (2020/2021)

Course partially running (all years except the first)

Course code
Name of lecturer
Francesco De Sinopoli
Francesco De Sinopoli
Number of ECTS credits allocated
Academic sector
Language of instruction
A.A. 20/21 dottorato dal Oct 1, 2020 al Sep 30, 2021.

Lesson timetable

Go to lesson schedule

Learning outcomes

The goal of the course is to give students a solid bacground in Game Theory.
Game theory provides a structured way to study strategic interactions and we can use it to better understand business strategy, contracts, auctions, voting systems, crime, bargaining, and virtually any social interaction one can think of.
At the end of tje course students are expected to be able to critically read and understand models poposed by economists to describe the above social interactions.


Normal Form Games.
-Nash Equilibrium.
-Iterated Dominance.
-Incomplete Information.
-Trembling-Hand Perfection.

Extensive Form Games.
-Backward Induction.
-Subgame Perfection.
-Sequential Equilibrium and Extensive Form Perfection.
-Beliefs-based Refinements

Reference books
Author Title Publisher Year ISBN Note
A. Mas-colell, M. Whinston, J.Green Microeconomic Theory  
van Damme stability and perfection of nash equilibria 1996

Assessment methods and criteria

This course will be assessed with a written examination which will include some exercises that span all over the program. The closed-book exam will last 60 minutes and it aims to test the understanding of the main concepts introduced during the lectures. In the grading process, more enphasis will be given to the reasonings than to the exact calculations.
Students may obtain extra points throught lectures by active participation.