Game Theory with Applications to Information Engineering (GTIE)5 ECTS
(englische Bezeichnung: Game Theory with Applications to Information Engineering)
(Prüfungsordnungsmodul: Game Theory with Applications to Information Engineering)

Lectures:

• • Game Theory with Applications to Information Engineering
    (Vorlesung, 4 SWS, Veronika Grimm et al., Mon, 8:00 - 12:00, 01.151-128)
    (Diese Lehrveranstaltung existiert im Semester SS 2021 nicht, hier wird daher die Veranstaltung aus Semester WS 2018/2019 angezeigt!)

Inhalt:

The course is an introduction to the fundamentals of game theory and mechanism design. Motivations are drawn from topics in information engineering and networked systems (e.g. incentive- compatible/dynamic resource allocation in networks, distributed control of wireline and wireless communication networks, multi-agent systems, pricing and investment decisions in the Internet). Also social and economic contexts will be covered in order to put the engineering applications into a broader perspective. The course emphasizes theoretical foundations of game theory and develops knowledge on the standard equilibrium notions in different environments.

Lernziele und Kompetenzen:

In the lecture students learn the fundamental concepts of game theory and their formal representations. They learn to distinguish between different approaches to the representation of games and to employ appropriate solution concepts. Furthermore, students apply game theory to issues in information engineering, e.g. signal processing and multi-media communication. After attending the lecture, students understand the analysis of games under complete as well as incomplete information in a non-cooperative environment. Moreover, students acquire a basic understanding of evolutionary games, auction theory and mechanism design, with some applications to information engineering.

Literatur:

Main Textbook: Fudenberg, D. and Tirole, J. (2007), Game Theory, Cambridge, MIT Press.
Recommended: Krishna, V. (2002), Auction Theory, Academic Press.
Shoham, Y. and Leyton-Brown, K. (2009), Multiagent Systems, New York, Cambridge University Press.
Osborne, M. and A. Rubenstein (1994), A Course in Game Theory, Cambridge, MIT Press.

Weitere Informationen:

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:

1. Advanced Signal Processing & Communications Engineering (Master of Science)
   (Po-Vers. 2020w | TechFak | Advanced Signal Processing & Communications Engineering (Master of Science) | Gesamtkonto | Game Theory with Applications to Information Engineering)

Studien-/Prüfungsleistungen:

Game theory with Applications to Information Engineering (Prüfungsnummer: 84301)

Prüfungsleistung, Klausur, Dauer (in Minuten): 90, benotet, 5 ECTS

Anteil an der Berechnung der Modulnote: 100.0 %

Prüfungssprache: Englisch

Erstablegung: SS 2021

1. Prüfer:

Veronika Grimm

Termin: 19.07.2021, 14:00 Uhr, Ort: FG 1.036
Termin: 01.03.2022, 14:00 Uhr, Ort: LG 5.120