DSS
Decision Sciences & Systems
Technical University of Munich
 

Supervision: Martin Bullinger, Patrick Lederer, and Prof. Felix Brandt

Seminar in WS 2020/2021
Markets, Algorithms, Incentives, and Networks (MAIN)

Content

In recent years, there has been an increasing interest in topics at the intersection of economics and computer science, as witnessed by the continued rapid rise of research areas such as algorithmic game theory and computational social choice. This development is due to the emergence of computational networks such as the Internet as well as the need to get a grip on algorithmic questions in economics. In this seminar, we will deal with both the theoretical foundations as well as their computational properties and possible applications.

The seminar will mostly be based on the books Economics and Computation by David C. Parkes and Sven Seuken, which will be available for download (guest key will be published during the overview meeting) for participants of the seminar, and the Handbook of Computational Social Choice, which is freely available as PDF at Cambridge University Press.  

The target audience for this seminar are master students and bachelor students after the 2nd semester.

Registration

Visit our overview meeting via BigBlueBlutton and tell us that you are interested. More information on the application process is provided in this meeting. In general, students from computer science and mathematics additionally have to use the matching system for the registration.

 Time and venue

MAIN SeminarSpeakerDate and TimeRoomSlides
Overview Meeting (Vorbesprechung)

Martin

July 10, 2020, 02:00 pm

Zoom Slides
First Meeting (Kickoff)   October 22, 2020, 02:00 pm Zoom  
Session 1   November 20, 2020, 09:00 am ?  
Session 2   December 10, 2020, 09:00 am ?  

 

Overview meeting

Please be on time and make sure to use your full name. You will have to be admitted to the session.

Language

The preferred language for talks and meetings is English.

Prerequisites

Participants should be interested in modelling and analyzing interesting problems with mathematical rigor.

Requirements to Pass

  • Attending the talks and active participation in the discussions

  • Giving a talk (30 to 45 min) in English

  • Deliver a handout for your fellow students one week before the talk

  • Read the handouts of your fellow students and send your questions/comments two days before the respective talk

Module Codes

  • IN2107 (Master-Seminar in the Master program Informatik)

  • IN0014 (Seminar in the Bachelor programs Informatik, Wirtschaftsinformatik)

  • For all other programs: Please check first whether this seminar fits in your curriculum.

Other Resources

  • Feedback guidelines (1) (2) [in addition to what is presented during the first meeting]

Further Literature (available online):

 

Contact

Martin Bullinger
Room 01.10.040 (Boltzmannstraße/Garching)
Tel.: 089-289-17537
Email: martin.bullingerzzin.tum.de

Patrick Lederer
Room 01.10.036 (Boltzmannstraße/Garching)
Tel.: 089-289-17538
Email: ledererpzzin.tum.de

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