DSS
Decision Sciences & Systems
Technical University of Munich
 

Prof. Martin Bichler

Lecture WS 18/19

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:

  • Letures: Wednesdays, 13:30 - 17:00, TUM Department of Informatics, Garching-Forschungszentrum, Room 01.10.011
  • Tutorial: Wednesdays, 10:45 - 12:15, TUM Department of Informatics, Garching-Forschungszentrum, Room 01.10.011
  • On October 31st the tutorial takes place from 12:00-13:30 due to the Student Body General Meeting
  • Final exam: TBA
Topic
Lecture 
Exercise
An introduction to game theory
17.10.
24.10. 
Game theory and mechanism design
24.10.
31.10.
Single-item auctions
31.10.
07.11.
Combinatorial auctions
07.11.
14.11.
Assignment markets
14.11.
21.11.
Iterative combinatorial auctions
21.11.
28.11.
Combinatorial clock auctions
28.11.
05.12.
Approximation mechanisms
05.12.
12.12.
Matching Markets
12.12.
19.12.

Organization:

  • Slides: will be made available before each class in the eLearning plattform MOODLE.
  • Grading is based on a final exam. Students can earn a grade bonus (0.3) by solving exercises and presenting summaries of the lecture.
  • Registration Lecture: register on TUMonline: TBA
  • Registration Exercise: register on TUMonline: TBA


Literature:


Contact:

 
  • Room 01.10.058
    Phone: 289 - 17528
    E-Mail: schwarzg[at]in.tum.de

 

Decision Sciences & Systems (DSS), Department of Informatics (I18), Technische Universität München, Boltzmannstr. 3, 85748 Garching, Germany
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