BAHÇEŞEHİR UNIVERSITY BİLGİ PAKETİ / DERS KATALOĞU
| ELECTRIC-ELECTRONIC ENGINEERING (ENGLISH, PHD) | |||||
| PhD | TR-NQF-HE: Level 8 | QF-EHEA: Third Cycle | EQF-LLL: Level 8 | ||
Course Introduction and Application Information
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| EEE5640 | Game Theory and Cognition for Wireless Networks | Spring | 3 | 0 | 3 | 12 |
| This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Basic information
| Language of instruction: | English |
| Type of course: | Departmental Elective |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assoc. Prof. SAEID KARAMZADEH |
| Recommended Optional Program Components: | none.......... |
| 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. |
Learning Outcomes
|
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 |
Course Content
| 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 ) |
Weekly Detailed Course Contents
| 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 ) |
Sources
| Course Notes / Textbooks: | Game Theory, D. Fudenberg and J. Tirole, ISBN 0262061414, 1991, MIT Press. |
| References: | none.......... |
Evaluation System
| Semester Requirements | Number of Activities | Level of Contribution |
| Quizzes | 3 | % 10 |
| Homework Assignments | 10 | % 10 |
| Project | 1 | % 10 |
| Midterms | 3 | % 30 |
| Final | 2 | % 40 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| Total | % 100 | |
ECTS / Workload Table
| Activities | Number of Activities | Workload |
| Course Hours | 14 | 42 |
| Field Work | 13 | 26 |
| Presentations / Seminar | 2 | 4 |
| Project | 1 | 30 |
| Homework Assignments | 8 | 16 |
| Midterms | 1 | 30 |
| Paper Submission | 1 | 3 |
| Final | 1 | 40 |
| Total Workload | 191 | |
Contribution of Learning Outcomes to Programme Outcomes
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution |