Introduction to Game Theory with Engineering Applications

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Introduction to Game Theory with Engineering Applications

6 LP

English

#40884 / #2

WS 2018/19 - SS 2020

Fakultät IV

TEL 12-11

Institut für Telekommunikationssysteme

34331800 FG Netzwerk- Informationstheorie

Maghsudi, Setareh

Maghsudi, Setareh

maghsudi@tu-berlin.de

No information

POS-Nummer PORD-Nummer Modultitel
2347343 39146 Game Theory in Wireless Communication Networks
2348259 40069 Introduction to Game Theory with Engineering Applications

Learning Outcomes

The module is developed to provide an introduction to game theory and mechanism design, with an emphasis on applications in engineering. It consists of two courses in sequence. The first course, which takes place during the first half of the semester, is held in the conventional frontal teaching form. During this part, basic game-theoretical models and concepts are introduced. The second course, which takes place in the second half of the semester, is in the form of seminar or mini-project. Each student defines some mini-project, in which some engineering problem is addressed by using game theory. The projects are in the form of research and/or computer implementation. The progress and results are presented and discussed in the class during the semester.

Content

A. Introduction to Game 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. Brief Introduction to Auction Theory and Mechanism Design 10. Brief Introduction to Cooperative Games (Tentative) 11. Brief Introduction to Market Design and Exchange Economy (Tentative) 12. Brief Introduction to Evolution (Tentative) B. Applications of Game Theory in Engineering: Examples include, but are not limited to: 1. Radio Resource Allocation 2. Load Balancing 3. Security 4. Network Formation 5. Internet of Things 6. Blockchain Technology

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name Type Number Cycle Language SWS
Introduction to Game Theory VL 34332400 L 001 WS English 2
Application of Game Theory in Engineering IV 34332400 L 003 WS English 2

Workload and Credit Points

Introduction to Game Theory (VL):

Workload description Multiplier Hours Total
Exam Preparation 1.0 30.0h 30.0h
Take-home Problem Set 3.0 5.0h 15.0h
Pre- and Post-processing 15.0 1.0h 15.0h
Course Attendance 15.0 2.0h 30.0h
90.0h(~3 LP)

Application of Game Theory in Engineering (IV):

Workload description Multiplier Hours Total
Attendance 15.0 2.0h 30.0h
Pre/post processing 15.0 4.0h 60.0h
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 to provide the students with necessary knowledge. The second part includes a seminar in order to enhance the self-learning ability and presentation skills of students. Also, a mini-project is foreseen to apply the learned materials to real-world problems, which improves the analytical and/or programming 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:

No information

Module completion

Grading:

graded

Type of exam:

Portfolio examination

Language:

English

Typ of portfolio examination

100 points in total

Test elements

Name Points Categorie Duration/Extent
(Deliverable Assessment) Take-home Problem Set 20 written 1 Problem set
(Examination) Oral test/discussion 30 oral 20 min
(Deliverable Assessment) Seminar Presentation 20 oral 45 min
(Deliverable Assessment) Project Report 30 written No lower and upper page limit defined

Grading scale

1.01.31.72.02.32.73.03.33.74.0
86.082.078.074.070.066.062.058.054.050.0

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

This module can be completed in one semester.

Maximum Number of Participants

The maximum capacity of students is 20.

Registration Procedures

Beside the examination registration at QISPOS/Prüfungsamt within the first 6 weeks of the lecture period, 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

Zur Zeit wird die Datenstruktur umgestellt. Aus technischen Gründen wird die Verwendung des Moduls während des Umstellungsprozesses in zwei Listen angezeigt.

This module is used in the following modulelists:

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

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

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

    Miscellaneous

    No information