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Information
| Code | ISB382 |
| Name | Game Theory |
| Term | 2024-2025 Academic Year |
| Semester | 6. Semester |
| Duration (T+A) | 2-0 (T-A) (17 Week) |
| ECTS | 3 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Doç. Dr. NİMET ÖZBAY |
| Course Instructor |
1 2 |
Course Goal / Objective
The aim of this course is to learn the basic concepts of the game theory and to develop the ability to apply solution methods for various games
Course Content
The content of this course consists of the following topics: The Basic Concepts of Game Theory , Balanced Games , Superiority Strategies , Games Played under Uncertainty, Graphical Solution of mx2 or 2xn Games, Solution of Games with Linear Programming, Solution of 2x2 Games, Solution of Two-Player Non-Zero-Sum Finite Games
Course Precondition
None
Resources
-Yöneylem Araştırması, Ahmet Öztürk, Ekin Basım Yayın, 2016, 894s.
Notes
-Oyun Teorisi - Çatışma ve Anlaşmanın Matematiksel Modelleri, Khalik G. Guseinov, Serkan A. Düzce, Emrah Akyar, 2014, 304s.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Explains the basic concepts of the game theory |
| LO02 | Applies solution methods for balanced games |
| LO03 | Explains the superiority strategies |
| LO04 | Solves games played under uncertainty |
| LO05 | Solves mx2 or 2xn games with graphical method |
| LO06 | Gains the ability to solve games with linear programming |
| LO07 | Explains the solution method for 2x2 games |
| LO08 | Explains the solution methods for two-player non-zero-sum finite games |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Explain the essence fundamentals and concepts in the field of Statistics | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Emphasize the importance of Statistics in life | 4 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Define basic principles and concepts in the field of Law and Economics | 2 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Produce numeric and statistical solutions in order to overcome the problems | |
| PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | 3 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer programs and builds models, solves problems, does analyses and comments about problems concerning randomization | |
| PLO07 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 2 |
| PLO08 | Bilgi - Kuramsal, Olgusal | Make statistical inference (estimation, hypothesis tests etc.) | |
| PLO09 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques and gain insight | |
| PLO10 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programs | |
| PLO11 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | |
| PLO12 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | |
| PLO13 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | 2 |
| PLO14 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Professional development in accordance with their interests and abilities, as well as the scientific, cultural, artistic and social fields, constantly improve themselves by identifying training needs | 2 |
| PLO15 | Yetkinlikler - Öğrenme Yetkinliği | Develop scientific and ethical values in the fields of statistics-and scientific data collection |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | The Basic Concepts of Game Theory | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 2 | Balanced Games | Source reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 3 | Superiority Strategies | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama |
| 4 | Games Played under Uncertainty | Source reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 5 | mx2 or 2xn Games | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 6 | Graphical Solution of mx2 or 2xn Games | Source reading | Öğretim Yöntemleri: Problem Çözme |
| 7 | Problem Solving-1 | Source reading | Öğretim Yöntemleri: Problem Çözme |
| 8 | Mid-Term Exam | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Solution of Games with Linear Programming | Source reading | Öğretim Yöntemleri: Anlatım |
| 10 | Examples of Problem Solving with Simplex Method | Source reading | Öğretim Yöntemleri: Problem Çözme |
| 11 | Solution of 2x2 Games | Source reading | Öğretim Yöntemleri: Anlatım, Alıştırma ve Uygulama |
| 12 | Solution of Two-Player Non-Zero-Sum Finite Games | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama |
| 13 | Finding Balance Strategies | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 14 | Nash Equilibrium | Source reading | Öğretim Yöntemleri: Anlatım, Tartışma |
| 15 | Problem Solving-2 | Source reading | Öğretim Yöntemleri: Problem Çözme |
| 16 | Term Exams | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | Review the topics discussed in the lecture notes and sources | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 2 | 28 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 2 | 28 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 6 | 6 |
| Final Exam | 1 | 16 | 16 |
| Total Workload (Hour) | 78 | ||
| Total Workload / 25 (h) | 3,12 | ||
| ECTS | 3 ECTS | ||