ECON 8879 Game Theory and Applications
In this elective advanced Graduate Class, we will cover many topics and problems that fall under the category game theory with more emphasis on dynamic games and repeated games. Although we will study some topics of dynamic games with complete information, there will be a disproportionate weight on problems with asymmetric information, and problems in which there are elements related to learning. More specifically, we will study Repeated Games, Reputation Games, Bargaining, Experimentation and Information Aggregation. Students should have a a strong background in Mathematical tools used in economics, and should have taken an advance undergraduate course in Game Theory, and/or first year Graduate Micro sequence.
Course overview
- Department
- Economics
- School
- MCAS
- Credits
- 3
- Level
- Graduate
- Offered
- Every Spring
Course evaluations
- Course rating
- 4.89 / 5 · Excellent
- Instructor rating
- 4.95 / 5 · Excellent
- Terms evaluated
- 5
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fall 2025 | Mehmet Ekmekci | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 1–3 hrs/week | 5 of 6 |
| Fall 2024 | Mehmet Ekmekci | 4.3 | 4.7 | 4.7 | 4.7 | 4.7 | 4.7 | 4.7 | 4.3 | 1–3 hrs/week | 3 of 3 |
| Fall 2023 | Mehmet Ekmekci | — | — | — | — | — | — | — | — | — | 1 of 2 |
| Fall 2022 | Mehmet Ekmekci | 5.0 | 5.0 | 4.7 | 4.7 | 4.8 | 4.8 | 4.8 | 4.7 | 4–6 hrs/week | 6 of 6 |
| Fall 2021 | Mehmet Ekmekci | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 4–6 hrs/week | 4 of 6 |