DSS
Decision Sciences & Systems
Technical University of Munich
 

Prof. Martin Bichler

Lecture WS 19/20

Auction Theory and Market Design (IN2211)

 

Intended learning outcomes:

The field of market design studies how to construct rules for allocating resources or to structure successful marketplaces. It draws on the tools of game theory and mechanism design to identify why certain market rules or institutions succeed and why others fail. The field has become popular in the recent years with many applications in the sale of spectrum licenses, electricity markets, or the assignment of students to courses. 

After participating in the course, the participants understand methods and game-theoretical models of auctions as well as the fundamental problems in the design of combinatorial auctions. They are able to assess the properties of different auction formats, and the results of theoretical and experimental analyses.


Prerequisites:

Students should be familiar with linear and integer optimization. The lecture on algorithmic game theory provides complementary concepts in game theory and related issues in complexity theory.
 

Syllabus:

  • Lectures: Wednesdays, 14:00 - 17:30, TUM Department of Informatics, Garching-Forschungszentrum, MI Hörsaal 2 (00.04.011)
  • Tutorial: Wednesdays, 17:30 - 19:30, TUM Department of Informatics, Garching-Forschungszentrum, MI Hörsaal 2 (00.04.011)
  • Final exam: tba
Topic
Lecture 
Exercise
An introduction to game theory
16.10.
 23.10. 
Game theory and mechanism design
23.10.
30.10.
Single-item auctions
30.10.
06.11.
Combinatorial auctions
06.11.
13.11.
Assignment markets
13.11.
20.11.
Iterative combinatorial auctions
20.11.
27.11.
Combinatorial clock auctions
27.11.
04.12.
Approximation mechanisms
04.12.
11.12.
Matching Markets
11.12.
18.12.

Organization:

  • Slides: will be made available before each class in the eLearning plattform Moodle.
  • Lecture registration opens on October 1st.
  • Exercise registration opens after the first lecture on October 16th.

 


Literature:


Contact:

 
 
  • Room 01.10.058
    Phone: 289 - 17528
    E-Mail: schwarzgzzin.tum.de

 

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