Information
Code | ISB382 |
Name | Game Theory |
Term | 2022-2023 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 |
Doç. Dr. NİMET ÖZBAY
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
To learn the basic concepts of the game theory and to develop the ability to apply solution methods for various games
Course Content
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. -Oyun Teorisi - Çatışma ve Anlaşmanın Matematiksel Modelleri, Khalik G. Guseinov, Serkan A. Düzce, Emrah Akyar, 2014, 304s.
Notes
Lecture Notes
Course Learning Outcomes
Order | Course Learning Outcomes |
---|---|
LO01 | Comphrehends 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 | Comprehends the solution method for 2x2 games |
LO08 | Comprehends 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 Probability, Statistics and Mathematics | 4 |
PLO02 | Bilgi - Kuramsal, Olgusal | Emphasize the importance of Statistics in life | 5 |
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 | 4 |
PLO05 | Bilgi - Kuramsal, Olgusal | Use proper methods and techniques to gather and/or to arrange the data | 3 |
PLO06 | Bilgi - Kuramsal, Olgusal | Utilize computer systems and softwares | |
PLO07 | Bilgi - Kuramsal, Olgusal | Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events | 3 |
PLO08 | Bilgi - Kuramsal, Olgusal | Apply the statistical analyze methods | 2 |
PLO09 | Bilgi - Kuramsal, Olgusal | Make statistical inference(estimation, hypothesis tests etc.) | |
PLO10 | Bilgi - Kuramsal, Olgusal | Generate solutions for the problems in other disciplines by using statistical techniques | 5 |
PLO11 | Bilgi - Kuramsal, Olgusal | Discover the visual, database and web programming techniques and posses the ability of writing programme | |
PLO12 | Bilgi - Kuramsal, Olgusal | Construct a model and analyze it by using statistical packages | 5 |
PLO13 | Beceriler - Bilişsel, Uygulamalı | Distinguish the difference between the statistical methods | 5 |
PLO14 | Beceriler - Bilişsel, Uygulamalı | Be aware of the interaction between the disciplines related to statistics | 3 |
PLO15 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Make oral and visual presentation for the results of statistical methods | |
PLO16 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Have capability on effective and productive work in a group and individually | 2 |
PLO17 | 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 |
PLO18 | 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 |