|
|
| ISTL7021 | Game Theory | 3+0+0 | ECTS:7.5 | | Year / Semester | Fall Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of STATISTICS and COMPUTER SCIENCES | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 3 hours of lectures per week | | Lecturer | Dr. Öğr. Üyesi Serkan AKBAŞ | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Developing Game Analysis Skills: Game theory enhances the ability to analyze and evaluate various strategic situations. This makes decision-making more rational and informed. Game theory helps players understand how to make optimal decisions within interdependencies.
Analyzing Decision-Making Processes: It is used to understand the strategic decision-making processes among interacting players and to investigate how to achieve better outcomes in these processes.
Developing Applied Mathematics and Modeling Skills: Game theory enhances mathematical modeling and analysis skills. This aims to better understand and solve complex systems. |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | To understand the concept and framework of game theory | 1 - 2 | 1, | | PO - 2 : | Learning and using game theory tools and performing mathematical modeling | 1 - 2 | 1,2, | | PO - 3 : | Predicting the behavior of individuals in environments where strategic individuals are present, making the right decisions based on the behavior of their competitors, and developing strategies. | 1 - 2 | 1,2,5, | | PO - 4 : | Ability to apply Game Theory to different areas and real problems | 1 - 2 | 1,2,5, | | PO - 5 : | Interprets the results obtained and transforms them into decisions. | 1 - 2 | 1,2, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Introduction to Game Theory; Definition, Basic Concepts, and Historical Development of Game Theory; Decision Theory (Laplace, Maximin, Minimax Criteria); Construction of Game Matrices; Equilibrium Strategies, Properties, and Saddle Points; Solution of 2x2 Game Matrices; Graphical Solution of 2xn and mx2 Game Matrices; Algebraic Solution of Multidimensional Game Matrices; Linear Programming Solution of Multidimensional Game Matrices; Two-Person Non-Zero-Sum Games and Nash Equilibrium; Auctions; Coalition Games |
| |
| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to Game Theory | | | Week 2 | Definition, Basic Concepts, and Historical Development of Game Theory | | | Week 3 | Decision Theory (Laplace, Maximin, Minimax Criteria) | | | Week 4 | Construction of Game Matrices | | | Week 5 | Equilibrium Strategies, Properties, and Saddle Points | | | Week 6 | Solution of 2x2 Game Matrices | | | Week 7 | Solving Game Matrices of 2xn and mx2 Dimensions with Graphical Method | | | Week 8 | Solving Multidimensional Game Matrices with Algebraic Method | | | Week 9 | MIDTERM | | | Week 10 | Solving Multidimensional Game Matrices with Linear Programming Method | | | Week 11 | Two-Person Non-Zero-Sum Games and Nash Equilibrium | | | Week 12 | Homework Presentations | | | Week 13 | Homework Presentations | | | Week 14 | Auction Theory | | | Week 15 | Coalition Games | | | Week 16 | FINAL EXAM | | | |
| 1 | P.K. Dutta. Strategies and Games: Theory And Practice, MIT 1999 | | | 2 | Martin Osborne: An Introduction to Game Theory | | | 3 | J. Watson. Strategy: An Introduction to Game Theory, Norton 2002 | | | 4 | Dixit and B. Nalebuff. Thinking Strategically, Norton 1991 | | | 5 | Ensar Yılmaz, Oyun Teorisi, Literatür Yayınevi, 2016 | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 10 | 15/06/2021 | 1 | 30 | | Homework/Assignment/Term-paper | 13 | 24/05/2021 | 8 | 20 | | End-of-term exam | 16 | 30/06/2021 | 1 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 3 | 14 | 42 | | Arasınav için hazırlık | 3 | 8 | 24 | | Arasınav | 2 | 1 | 2 | | Ödev | 6 | 4 | 24 | | Dönem sonu sınavı için hazırlık | 3 | 8 | 24 | | Dönem sonu sınavı | 2 | 1 | 2 | | Total work load | | | 160 |
|