| Course Type | Elective Course |
|---|
| Course Level | Master's Degree Without Thesis |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 10 |
|---|
| Name of Lecturer(s) |
|
| Learning Outcomes |
At the end of this course, the students;
- become familiar with the use of game theory models used in economics. They understand nash equilibrium, subgame perfect equilibrium, bargaining, repeated games and dynamic competition, bayesian nash equilibrium, auctions and perfect bayesian equilibrium in economic problems.
- become familiar with the game theoretic solution and analysis methods used in game theory models. They understand oligopoly, time-consistent macroeconomic policy, bargaining, auctions, and solution of similar game theoretic problems.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | This course mainly introduces the students graduate level game theory and strategic thinking. Subjects such as dominance, backward induction, Nash equilibrium, commitment, credibility, asymmetric information, and reputation are discussed. Beside, these issues are applied to games in the classroom experiments. During the course main examples are drawn particularly from economics, but also politics, and everyday life. |
|---|
| Course Contents |
| WEEK |
TOPICS |
|
1st Week |
Introduction to Game Theory |
|
2nd Week |
Static games of complete information and Nash equilibrium |
|
3rd Week |
Static games of complete information: Applications |
|
4th Week |
Mixed Strategies |
|
5th Week |
Dynamic games of complete and perfect information |
|
6th Week |
Repeated games |
|
7th Week |
Dynamic games of complete but imperfect information |
|
8th Week |
Mid-Term |
|
9th Week |
Static games of incomplete information: Bayesian Nash Equilibrium |
|
10th Week |
Static games of incomplete information: Applications |
|
11th Week |
Dynamic games of incomplete information: Perfect Bayesian Nash equilibrium |
|
12th Week |
Signaling games |
|
13th Week |
Dynamic games of incomplete information: Other applications |
|
14th Week |
Behavioral game theory |
|
| Recommended or Required Reading | Robert Gibbons, Game Theory for Applied Economists, 1992. |
|---|
| Planned Learning Activities and Teaching Methods |
- Lecture
- Discussion
- Problem Solving
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
40 |
| Assignment |
1 |
10 |
| Total(%) |
|
50 |
| Contribution of In-term Studies to Overall Grade(%) |
|
50 |
| Contribution of Final Examination to Overall Grade(%) |
|
50 |
| Total(%) |
|
100 |
|
| ECTS Allocated Based on Student Workload |
| Activities |
Quantity |
Duration (Hour) |
Total Workload (Hour) |
| Midterm exam |
1 |
2 |
2 |
| Preparation for Quiz |
|
|
|
| Individual or group work |
14 |
5 |
70 |
| Preparation for Final exam |
1 |
70 |
70 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
60 |
60 |
| Laboratory (including preparation) |
|
|
|
| Final exam |
1 |
2 |
2 |
| Homework |
1 |
55 |
55 |
| Total Work Load | 301 |
| Total Work Load / 30 (h) | 10.03 |
| ECTS Credit of the Course | 10 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
