Syllabus

Title
1885 Game Theory (Science Track)
Instructors
Univ.Prof. Dr.Dr. Ulrich Berger
Contact details
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
10/04/23 to 10/04/23
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Dates
Day Date Time Room
Monday 10/09/23 02:30 PM - 04:30 PM D4.0.133
Monday 10/16/23 02:30 PM - 04:30 PM D4.0.133
Monday 10/23/23 02:30 PM - 04:30 PM D4.0.133
Monday 11/06/23 02:30 PM - 04:30 PM D4.0.133
Monday 11/13/23 02:30 PM - 04:30 PM D4.0.133
Monday 11/20/23 02:30 PM - 04:30 PM D4.0.133
Monday 11/27/23 02:30 PM - 04:30 PM D4.0.133
Monday 12/04/23 02:30 PM - 04:30 PM D4.0.133
Monday 12/11/23 02:30 PM - 04:30 PM D4.0.133
Monday 12/18/23 02:30 PM - 04:30 PM D4.0.133
Monday 01/08/24 02:30 PM - 04:30 PM D4.0.133
Tuesday 01/16/24 12:00 PM - 02:00 PM TC.0.01
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

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

Availability of lecturer(s)

anytime: ulrich.berger@wu.ac.at

sometimes: 01/31336-4562

Last edited: 2023-09-27



Back