Course: Game Theory

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Course title Game Theory
Course code KMI/TEH
Organizational form of instruction Lecture + Exercise
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 4
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Konečný Jan, doc. RNDr. Ph.D.
Course content
Sylabus předmětu: Strategic Form Games Nash Equilibrium Rationalization, Correlated Equilibrium Nash Theorem Evolution and Learning in Games Extensive Form Games Repeated Games Incomplete Information

Learning activities and teaching methods
unspecified
Learning outcomes
Prerequisites
unspecified

Assessment methods and criteria
unspecified
Recommended literature
  • Dixit A. K., Nalebuff B. J. (2010). The Art of Strategy: A Game Theorist's Guide to Success in Business and Life. W. W. Norton & Company.
  • Elliott Mendelson, Boca Raton. (2004). Introducing game theory and its applications. London ; New York : Chapman & Hall.
  • Guillermo Owen. (1995). Game theory. San Diego, CA : Academic Press.
  • Martin J. Osborne, Ariel Rubinstein. (1994). A course in game theory. London ; Cambridge, MA : MIT Press.
  • R. Duncan Luce, Howard Raiffa. (1989). Games and decisions : introduction and critical survey. New York : Dover Publications.
  • Watson J. (2013). Strategy: An Introduction to Game Theory. W. W. Norton & Company.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Science Study plan (Version): Mathematics (2023) Category: Mathematics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in Artificial Intelligence (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Software Development (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Computer Science - Specialization in General Computer Science (2020) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer
Faculty: Faculty of Science Study plan (Version): Applied Computer Science - Specialization in Computer Systems and Technologies (2024) Category: Informatics courses 1 Recommended year of study:1, Recommended semester: Summer