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Information
| Unit | FACULTY OF SCIENCE AND LETTERS |
| STATISTICS PR. | |
| Code | ISB382 |
| Name | Game Theory |
| Term | 2017-2018 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 | 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 | |
| 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 | Midterm 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 | Final exam | Review the topics discussed in the lecture notes and sources | |
| 17 | Final exam | 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 | ||