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Algorithmic Game Theory (IN2239)

Course 0000000690 in SS 2017

General Data

Course Type lecture
Semester Weekly Hours 2 SWS
Organisational Unit Informatics 18 - Chair of Decision Science & Systems (Prof. Bichler)
Lecturers Felix Brandt
Christian Saile
Dates Tue, 15:00–16:30, Interims I 101

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks Algorithmic game theory is a young research area at the intersection of theoretical computer science, mathematics, and economics that deals with the optimal strategic behavior in interactive situations. In this course, particular attention will be paid to algorithmic aspects of game-theoretic solution concepts such as Nash equilibrium and the design of economic mechanisms.
Links E-Learning course (e. g. Moodle)
Additional information
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SS 2021 Algorithmic Game Theory (IN2239) Brandt, F. Tue, 14:00–16:00, virtuell
SS 2020 Algorithmic Game Theory (IN2239) Brandt, F.
SS 2019 Algorithmic Game Theory (IN2239) Brandt, F. Tue, 14:00–16:00, Interims I 101
SS 2018 Algorithmic Game Theory (IN2239) Brandt, F.
Assistants: Hofbauer, J.Saile, C.
Tue, 15:00–16:30, Interims I 101
SS 2016 Algorithmic Game Theory (IN2239) Tue, 14:00–16:00, Interims I 102
SS 2015 Algorithmic Game Theory (IN2239)
SS 2014 Algorithmic Game Theory (IN2239) Thu, 16:00–18:00, BC2 BC2 3.5.06
Mon, 16:00–18:00, BC2 BC2 3.5.06
SS 2013 Algorithmic Game Theory (IN2239)
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