ISB382 Game Theory

3 ECTS - 2-0 Duration (T+A)- 6. Semester- 2 National Credit

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

Update Time: 18.11.2022 03:58