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#40911 / #3

SoSe 2021 - WiSe 2021/22

English

Economics and Computation

6

Niedermeier, Rolf

benotet

Schriftliche Prüfung

Zugehörigkeit


Fakultät IV

Institut für Softwaretechnik und Theoretische Informatik

34351100 FG Algorithmik und Komplexitätstheorie

No information

Kontakt


TEL 5-1

Thielcke, Christlinde

lehre@akt.tu-berlin.de

Learning Outcomes

On successful completion, students will be able to: - select and develop models, - describe and design (efficient) algorithms, as well as - analyze properties (z.B. computational complexity, existence or stability of solutions, characterizations) for problems arising in the context of collective decision making and related fields.

Content

The course addresses problems at the interface of economics, social choice theory, and computer science. The focus is on processes of algorithmic decision making, such as voting rules or fair division. We discuss fundamental concepts from collective decision making and related topics and investigate algorithmic and computational aspects. Specific topics include: - aggregating preferences (rank aggregation) and voting, - algorithmic game theory, - cake cutting protocols, - fair allocation of recourses, - judgment aggregation, - opinion diffusion, and - stable matching.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Economics and ComputationIV0434 L 240SoSeEnglish4

Workload and Credit Points

Economics and Computation (IV):

Workload descriptionMultiplierHoursTotal
Attendance15.04.0h60.0h
Preparation and follow-up15.06.0h90.0h
150.0h(~5 LP)

Course-independent workload:

Workload descriptionMultiplierHoursTotal
Exam preparation1.030.0h30.0h
30.0h(~1 LP)
The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

The course material is presented in lectures. The lectures are accompanied by tutorials in which an active participation and homework is required.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Basic knowledge about algorithms and computational complexity.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Written exam

Language

German/English

Duration/Extent

90 min

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

This module is not limited to a number of students.

Registration Procedures

Please register at QISPOS or directly at the examination office.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

 

Electronical lecture notes

Availability:  available

 

Literature

Recommended literature
F. Brandt, V. Conitzer, U. Endriss, J. Lang, and A. D. Procaccia, ed.: Handbook of Computational Social Choice. Cambridge University Press, 2015.
J. Rothe, ed.: Economics and Computation. An Introduction to Algorithmic Game Theory, Computational Social Choice, and Fair Division. Springer, 2015
Y. Shoham, K. Leyton-Brown: Multiagent Systems. Cambridge University Press, 2009.

Assigned Degree Programs


This module is used in the following Degree Programs (new System):

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
This module is not used in any degree program.

Students of other degrees can participate in this module without capacity testing.

Miscellaneous

No information