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#40884 / #3

WiSe 2020/21 - WiSe 2022/23

English

Introduction to Game Theory with Engineering Applications

6

Stanczak, Slawomir

benotet

Portfolioprüfung

Zugehörigkeit


Fakultät IV

Institut für Telekommunikationssysteme

34331800 FG Netzwerk- und Informationstheorie

No information

Kontakt


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Stanczak, Slawomir

sekretariat@netit.tu-berlin.de

Learning Outcomes

The module provides an introduction to game theory and mechanism design, with an emphasis on applications in science engineering. After the lecture, the students know the basic concepts of game theory and learning in games. Moreover, the students can do self-study for expanding their knowledge of game theory. Besides, they can model various engineering scenarios as multi-agent systems, and use game theory to solve the underlying problem. Based on the selected type of the project, they can implement of game-theoretical multi-agent systems using conventional programming languages such as MATLAB, and they can analyze the system using simulation or theory.

Content

A. Introductory Theory: 1. Strategic Form Games 2. Equilibrium Concepts (Nash and Correlated Equilibrium) 3. Potential Games 4. Learning in Games 5. Repeated Games 6. Extensive Form Games 7. Games with Incomplete Information 8. Nash Bargaining Solution 9. Auction Theory and Mechanism Design 10. Cooperative Games 11. Behavioral Game Theory 12. Exchange Economy (Tentative) 13. Evolution (Tentative) 14. Multi-Agent Systems B. Application Examples: 1. Wireless Communications (Radio and Computational Resource Management) 2. Vehicular Networks (Traffic Control) 3. Economics (Portfolio Selection) 4. Marketing (Ad Selection) 5. Security (Surveillance)

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course NameTypeNumberCycleLanguageSWSVZ
Introduction to Game TheoryVL34332400 L 001WiSeEnglish2
Application of Game Theory in EngineeringIV34332400 L 003WiSeEnglish2

Workload and Credit Points

Introduction to Game Theory (VL):

Workload descriptionMultiplierHoursTotal
Course Attendance15.02.0h30.0h
Exam Preparation1.030.0h30.0h
Pre- and Post-processing15.01.0h15.0h
Take-home Problem Set3.05.0h15.0h
90.0h(~3 LP)

Application of Game Theory in Engineering (IV):

Workload descriptionMultiplierHoursTotal
Attendance15.02.0h30.0h
Pre/post processing15.04.0h60.0h
90.0h(~3 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 module consists of two parts, the first part is held in the conventional teaching form, as a block course, to provide the students with the necessary knowledge. The second part includes a seminar or mini-project to enhance the ability of self-learning, programming, application-oriented study, also the presentation skills of students.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Prerequisite to attend the module are calculus and probability theory at the level of MSc students in engineering.

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

NamePointsCategorieDuration/Extent
(Deliverable Assessment) Take-home Problem Set20written1 Problem set
(Examination) Oral test/discussion30oral20 min
(Deliverable Assessment) Seminar Presentation20oral45 min
(Deliverable Assessment) Project Report30writtenNo lower and upper page limit defined

Grading scale

Notenschlüssel »Notenschlüssel 1: Fak IV (1)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt86.0pt82.0pt78.0pt74.0pt70.0pt66.0pt62.0pt58.0pt54.0pt50.0pt

Test description (Module completion)

The final grade according to § 47 (2) AllgStuPO will be calculated according to Notenschlüssel 1 of Faculty IV.

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:
Wintersemester.

Maximum Number of Participants

The maximum capacity of students is 20.

Registration Procedures

Besides the examination registration at QISPOS/Prüfungsamt, no formal enrollment is required.

Recommended reading, Lecture notes

Lecture notes

Availability:  available

 

Electronical lecture notes

Availability:  unavailable

 

Literature

Recommended literature
A. Mas-Colell and M.D. Whinston, and J.R. Green, Microeconomic Theory, Oxford University Press, 1995
A. Ozduglar, Game Theory with Engineering Application, MIT OpenCourseWare, 2009
D. Fudenberg and D. Levine, The Theory of Learning in Games, MIT Press, 1998
D. Fudenberg and J. Tirole, Game Theory, MIT Press, 1991
K. Vijay, Auction Theory, Harvard University Press, 2008
M. Agiwal, A. Roy and N. Saxena, "Next Generation 5G Wireless Networks: A Comprehensive Survey," in IEEE Communications Surveys & Tutorials, vol. 18, no. 3, pp. 1617-1655, 2016.

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