Syllabus

Title
1668 Game Theory (Science Track)
Instructors
Univ.Prof. Dr.Dr. Ulrich Berger
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
10/03/24 to 10/03/24
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Monday 10/14/24 03:00 PM - 05:00 PM D4.0.019
Monday 10/21/24 03:00 PM - 05:00 PM D4.0.019
Monday 11/04/24 03:00 PM - 05:00 PM D4.0.019
Monday 11/11/24 03:00 PM - 05:00 PM D4.0.019
Monday 11/18/24 03:00 PM - 05:00 PM D4.0.019
Monday 11/25/24 03:00 PM - 05:00 PM D4.0.019
Monday 12/02/24 03:00 PM - 05:00 PM D4.0.019
Monday 12/09/24 03:00 PM - 05:00 PM D4.0.019
Monday 12/16/24 03:00 PM - 05:00 PM D4.0.019
Monday 01/13/25 03:00 PM - 05:00 PM D4.0.019
Monday 01/20/25 03:00 PM - 05:00 PM D4.0.019
Thursday 01/30/25 05:00 PM - 07:00 PM TC.0.04
Contents

This is an introduction to noncooperative game theory.

Learning outcomes

After completing this class, students will have the ability to

  • recognize strategic problems
  • model those strategic problems as games
  • analyze these games using the methods and tools of noncooperative game theory
  • find the equilibria of these games and interpret those equilibria in terms of positive and normative game theory
  • formulate a concise assessment of the strategic problem and its possible solution in game-theoretic terms
  • translate these terms into policy recommendations for efficient ways of handling or even solving the underlying strategic problem
Attendance requirements

The attendance requirement is met, if a student is present at least 80%. Therefore, students are allowed to be absent for up to 4.5 h, corresponding to 1.5 units.

Teaching/learning method(s)

This course is taught as lectures combined with exercises and in-class experiments. Lectures provide the core information of the topics while exercises help students to consolidate their knowledge and understanding. The experiments transform the abstract concepts and the intricacies of strategic decision-making into a hands-on experience. The solutions to exercise problems will be presented by students on a voluntary basis and discussed in class.

Assessment
  • 45% midterm exam
  • 45% final exam
  • 10% active participation

There are no retake exams, except for those with confirmation of sick leave.

0% - 49.9%: failed (5), 50% - 62.4%: sufficient (4), 62.5% - 74.9%: satisfactory (3), 75% - 87.4%: good (2), 87.5% - 100%: excellent (1)

Readings

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Availability of lecturer(s)

anytime: ulrich.berger@wu.ac.at

sometimes: 01/31336-4562

Last edited: 2024-05-08



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