ISB382 Game Theory

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

Information

Unit FACULTY OF SCIENCE AND LETTERS
STATISTICS PR.
Code ISB382
Name Game Theory
Term 2018-2019 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
Label E Elective
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Doç. Dr. NİMET ÖZBAY
Course Instructor Prof. Dr. SELAHATTİN KAÇIRANLAR (Bahar) (A Group) (Ins. in Charge)


Course Goal / Objective

Learn the solution of various games by learning the basic concepts of game theory

Course Content

the basic concepts of game theory , balanced games , superiority strategies ,games played under uncertainty , the solution with graphical method of game mx2 or 2xn , to solve linear programming of games , the solution method of game 2x2 , the solution of finite non-zero-sum double game

Course Precondition

Yok

Resources

Notes



Course Learning Outcomes

Order Course Learning Outcomes
LO01 Learn the basic concepts of game theory
LO02 Learn to solve balanced Games
LO03 Learn superiority strategies
LO04 Learn to solve games played under uncertainty
LO05 Learn the solution with graphical method of game mx2 or 2xn
LO06 Learn to solve linear programming of games
LO07 Learn the solution method of game 2x2
LO08 learn the solution of finite non-zero-sum double game


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Explain the essence fundamentals and concepts in the field of Probability, Statistics and Mathematics 3
PLO02 - Emphasize the importance of Statistics in life 2
PLO03 - Define basic principles and concepts in the field of Law and Economics 0
PLO04 - Produce numeric and statistical solutions in order to overcome the problems 2
PLO05 - Use proper methods and techniques to gather and/or to arrange the data 1
PLO06 - Utilize computer systems and softwares 2
PLO07 - Construct the model, solve and interpret the results by using mathematical and statistical tehniques for the problems that include random events 4
PLO08 - Apply the statistical analyze methods 1
PLO09 - Make statistical inference(estimation, hypothesis tests etc.) 1
PLO10 - Generate solutions for the problems in other disciplines by using statistical techniques 2
PLO11 - Discover the visual, database and web programming techniques and posses the ability of writing programme 0
PLO12 - Construct a model and analyze it by using statistical packages 1
PLO13 - Distinguish the difference between the statistical methods 1
PLO14 - Be aware of the interaction between the disciplines related to statistics 2
PLO15 - Make oral and visual presentation for the results of statistical methods 1
PLO16 - Have capability on effective and productive work in a group and individually 2
PLO17 - 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 - Develop scientific and ethical values in the fields of statistics-and scientific data collection 2


Week Plan

Week Topic Preparation Methods
1 the basic concepts of game theory Source reading
2 balanced games Source reading
3 superiority strategies Source reading
4 games played under uncertainty Source reading
5 the solution with graphical method of game mx2 or 2xn Source reading
6 to solve linear programming of games Source reading
7 to solve linear programming of games Source reading
8 Mid-Term Exam Review the topics discussed in the lecture notes and sources
9 the solution method of game 2x2 Source reading
10 the solution of finite non-zero-sum double game Source reading
11 Finding the balance strategy Source reading
12 Cooperative games Source reading
13 Nash agreement procedure Source reading
14 Maximum agreement resolution Source reading
15 Problem solving Source reading
16 Term Exams Review the topics discussed in the lecture notes and sources
17 Term Exams Review the topics discussed in the lecture notes and sources


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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: 29.04.2025 02:18