| Course Type | Elective Course |
|---|
| Course Level | Bachelor's Degree |
|---|
| Year of Study | - |
|---|
| Semester | - |
|---|
| ECTS | 5 |
|---|
| 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.
- Understand static and dynamic games, Nash equilibrium, Bayesian Nash equilibrium, perfect Bayesian Nash equilibrium, auctions and bargaining theories.
- Learn how to apply game theory tools (Cournot, Bertrand, Stackelberg models and Hotelling location model) in oligopolistic markets.
|
| Mode of Delivery | Face to face |
|---|
| Prerequisites | No |
|---|
| Recommended Optional Programme Components | None |
|---|
| Course Description | This course mainly introduces the students elementary game theory and strategic thinking. Subjects such as dominance, backward induction, Nash equilibrium, commitment, credibility, asymmetric information, and reputation are discussed. Besides these issues are applied to games played in the classroom. 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 |
Main concepts and basic assumptions |
|
3rd Week |
Dynamic games of complete information |
|
4th Week |
Static games of complete information |
|
5th Week |
Coordination games |
|
6th Week |
Oligopolistic markets and Nash equilibrium |
|
7th Week |
Midterm |
|
8th Week |
Mixing dynamic and static games |
|
9th Week |
Mixed strategies |
|
10th Week |
Risk, uncertainty and asymmetric information |
|
11th Week |
Static and Dynamic games of incomplete information |
|
12th Week |
Repeated games |
|
13th Week |
Strategic moves |
|
14th Week |
Auction theory and bargaining theory |
|
| Recommended or Required Reading | A. Dixit, S. Skeath & D. McAdams (2021), Games of Strategy, 5. Edition, W. W. Norton & Company
J. E. Harrington (2015), Games, Strategies and Decision Making, 2. Edition, Worth Publishers
E. Yılmaz (2009), Oyun Teorisi, 2. Basım, Literatür Yayınları |
|---|
| Planned Learning Activities and Teaching Methods |
|
|---|
| Assessment Methods and Criteria |
|
Quantity |
Percentage (%) |
| Mid-term |
1 |
40 |
| Quiz |
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 |
1 |
1 |
| Preparation for Quiz |
1 |
9 |
9 |
| Individual or group work |
14 |
3 |
42 |
| Preparation for Final exam |
1 |
30 |
30 |
| Course hours |
14 |
3 |
42 |
| Preparation for Midterm exam |
1 |
25 |
25 |
| Laboratory (including preparation) |
0 |
0 |
0 |
| Final exam |
1 |
1 |
1 |
| Homework |
0 |
0 |
0 |
| Total Work Load | 150 |
| Total Work Load / 30 (h) | 5 |
| ECTS Credit of the Course | 5 |
|
| Language of Instruction | Turkish |
|---|
| Work Placement(s) | No |
|---|
