| MATHEMATICS (TURKISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| EEE5640 | Game Theory and Cognition for Wireless Networks | Fall | 3 | 0 | 3 | 12 |
| The course opens with the approval of the Department at the beginning of each semester |
| Language of instruction: | En |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. SAEID KARAMZADEH |
| Course Objectives: | The course targets presentation of the basics of game theory with a wireless communications and networking perspective. The students will develop a solid background on game theory, learn how to apply game theory to wireless network problems, and be able to solve problems. |
|
The students who have succeeded in this course; I. Learn Fundamentals of Game Theory II. Learn Strategic Form Games, Dominator Strategy Equilibrium, Nash Equilibrium III. Learn Extensive Form Game IV. Learn Cooperative Games V. Learn Potential Games, Fictitious Play VI. Learn How Game Theory is Used to Analyze Various Wireless Networking Problems VII. Apply Game Theory to Solve Wireless Network Problems |
| Introduction to game theory and cognitive radios, Strategic Form Games, Nash Equilibrium, Dominance and Best Response, Continuous and Discontinuous Games, Extensive Form Game, Repeated Games , Subgame Perfect, Perfect Information: Backward Induction, Imperfect Information: Bayesian Games, Application of Game Theory to Networks (e.g. packet forwarding), Potential Games, Learning: Fictitious Play, Application of Game Theory (e.g. congestion, etc ) |
| Week | Subject | Related Preparation | |
| 1) | Introduction to game theory and cognitive radios | ||
| 2) | Strategic Form Games | ||
| 3) | Nash Equilibrium | ||
| 4) | Dominance and Best Response | ||
| 5) | Continuous and Discontinuous Games | ||
| 6) | Extensive Form Game | ||
| 7) | Repeated Games , Subgame Perfect | ||
| 8) | Midterm | ||
| 9) | Perfect Information: Backward Induction | ||
| 10) | Imperfect Information: Bayesian Games | ||
| 11) | Application of Game Theory to Networks (e.g. packet forwarding) | ||
| 12) | Potential Games | ||
| 13) | Learning: Fictitious Play | ||
| 14) | Application of Game Theory (e.g. congestion, etc ) | ||
| Course Notes: | Game Theory, D. Fudenberg and J. Tirole, ISBN 0262061414, 1991, MIT Press. |
| References: | none.......... |
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | % 0 | |
| Laboratory | % 0 | |
| Application | % 0 | |
| Field Work | % 0 | |
| Special Course Internship (Work Placement) | % 0 | |
| Quizzes | 3 | % 10 |
| Homework Assignments | 10 | % 10 |
| Presentation | % 0 | |
| Project | 1 | % 10 |
| Seminar | % 0 | |
| Midterms | 3 | % 30 |
| Preliminary Jury | % 0 | |
| Final | 2 | % 40 |
| Paper Submission | % 0 | |
| Jury | % 0 | |
| Bütünleme | % 0 | |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| Total | % 100 | |
| Activities | Number of Activities | Workload | |
| Course Hours | 14 | 42 | |
| Laboratory | |||
| Application | |||
| Special Course Internship (Work Placement) | |||
| Field Work | 13 | 26 | |
| Study Hours Out of Class | |||
| Presentations / Seminar | 2 | 4 | |
| Project | 1 | 30 | |
| Homework Assignments | 8 | 16 | |
| Quizzes | |||
| Preliminary Jury | |||
| Midterms | 1 | 30 | |
| Paper Submission | 1 | 3 | |
| Jury | |||
| Final | 1 | 40 | |
| Total Workload | 191 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |