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Description of Individual Course UnitsCourse Unit Code | Course Unit Title | Type of Course Unit | Year of Study | Semester | Number of ECTS Credits | 150400306105 | GAME THEORY | Elective | 3 | 6 | 4 |
| Level of Course Unit | First Cycle | Objectives of the Course | It is aimed to gain the ability of revealing any decision problem as the components and structure of game theorem. | Name of Lecturer(s) | Dr. Öğr. Üyesi Ercan İNCE | Learning Outcomes | 1 | To be able to gain the ability to optimize the achievements of the individual group or their own group in the competition or in case of competition | 2 |
To be able to understand what is the concept of strategy and to produce a correct strategy | 3 | To be able to understand that game theory has a wide range of applications and that it is an effective technique in a competitive environment. |
| Mode of Delivery | Daytime Class | Prerequisites and co-requisities | no | Recommended Optional Programme Components | no | Course Contents | 1 Introduction to Game Theory, Game Concept and Game Theorem, Historical Development of Game Theorem, Basic Concepts of Game Theorem
2 Introduction to Game Theory, Strategies, Game Matrix and Game Value, Classification of Games
3 Game Theory Problems and Solution Methods, Solution of Equilibrium Two-Point Zero-Sum Games, Maxim and Minimax Policy, Co-Strategies and Dominant Strategies
4 Solution Methods, Solution of Two-Point Games without Equilibrium Point, Solution by Algebraic Method, Solution by Matrix Method, Subgame Solution Method, Graphical Solution Method
5 Linear Programming and Game Theory
6 Nash Equilibrium (Nash Equilibrium)
7 Missing Knowledge Games, Bayesian Decision Theorem, Bayes-Nash Equilibrium
8 MIDTERM EXAM
9 MIDTERM EXAM
10 Application of Game Theory to Different Fields & Place of Game Theory in Economics, Biology, Sport and other fields
11 Relation between Quantitative Decision Making Techniques and Game Theory-Benefit Theory, Dynamic Programming, Linear Programming, AHP, etc.
12 Game Theory and Business Applications
13 Game Theory and Applications from Other Fields
14 Information Systems and Game Theory | Weekly Detailed Course Contents | |
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1 Introduction to Game Theory, Game Concept and Game Theorem, Historical Development of Game Theorem, Basic Concepts of Game Theorem
2 Introduction to Game Theory, Strategies, Game Matrix and Game Value, Classification of Games
3 Game Theory Problems and Solution Methods, Solution of Equilibrium Two-Point Zero-Sum Games, Maxim and Minimax Policy, Co-Strategies and Dominant Strategies
4 Solution Methods, Solution of Two-Point Games without Equilibrium Point, Solution by Algebraic Method, Solution by Matrix Method, Subgame Solution Method, Graphical Solution Method
5 Linear Programming and Game Theory
6 Nash Equilibrium (Nash Equilibrium)
7 Missing Knowledge Games, Bayesian Decision Theorem, Bayes-Nash Equilibrium
8 MIDTERM EXAM
9 MIDTERM EXAM
10 Application of Game Theory to Different Fields & Place of Game Theory in Economics, Biology, Sport and other fields
11 Relation between Quantitative Decision Making Techniques and Game Theory-Benefit Theory, Dynamic Programming, Linear Programming, AHP, etc.
12 Game Theory and Business Applications
13 Game Theory and Applications from Other Fields
14 Information Systems and Game Theory | | |
| Recommended or Required Reading | Hamdy Taha, "Operations Research" | Planned Learning Activities and Teaching Methods | | Assessment Methods and Criteria | |
Midterm Examination | 1 | 100 | SUM | 100 | |
Final Examination | 1 | 100 | SUM | 100 | Term (or Year) Learning Activities | 40 | End Of Term (or Year) Learning Activities | 60 | SUM | 100 |
| Language of Instruction | | Work Placement(s) | no |
| Workload Calculation | |
Midterm Examination | 1 | 1 | 1 | Final Examination | 1 | 2 | 2 | Makeup Examination | 1 | 2 | 2 | Observation | 14 | 3 | 42 | Reading | 5 | 3 | 15 | Report | 14 | 3 | 42 | Homework | 1 | 3 | 3 | |
Contribution of Learning Outcomes to Programme Outcomes | LO1 | | 4 | | | | 4 | | | 4 | | | | 4 | 4 | LO2 | 5 | | 4 | | 3 | | 4 | 4 | | 4 | | 3 | | | LO3 | | | | 4 | | | | | | | 4 | | | |
| * Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |
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Iğdır University, Iğdır / TURKEY • Tel (pbx): +90 476
226 13 14 • e-mail: info@igdir.edu.tr
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