FACULTY OF ENGINEERING

Department of Industrial Engineering

IE 361 | Course Introduction and Application Information

Course Name
Game Theory
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
IE 361
Fall/Spring
3
0
3
6

Prerequisites
  MATH 240 To succeed (To get a grade of at least DD)
or IE 240 To succeed (To get a grade of at least DD)
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Lecture / Presentation
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives The aim of the course is to provide you with sufficient knowledge of game theory tounderstand strategic interactions among people or organizations in order to maximizetheir own payoffs.
Learning Outcomes The students who succeeded in this course;
  • will be able to interpret elements of a game and payoffs games.
  • will be able to use analyze Prisoner's dilemma
  • will be able to think strategically by using some game theory strategies
  • will be able to analyze Nash Theory, Nash Equilibrium, Applications of Nash Equilibrium.
  • will be able to develop thinking strategies with the help of Complete Information Games, Sequential vs. Simultaneous Move, Subgame Perfection, Repeated GamesIncomplete Information Games, Signaling, Market Games, Auction terminology.
Course Description Elements of a Game and Payoffs Games, Prisoner's dilemma,Intro to ComlabGames Software, Strategies, Sequential Move Games, Risk and Probabilities, Simultaneous Move Games, Nash Theory, Incomplete Information Games

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to Game Theory. Elements of a game theory A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.
2 TwoPerson zerosum games A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.
3 Thinking Strategically: Strategies, Dominant Strategies, Strictly dominant strategies A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.
4 Sequential Move Games A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.
5 Simultaneous Move Games:Mixed Strategies, Best Response Functions A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.
6 Prisoner's Dilemma A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.
7 Review for Midterm
8 Nash Theory, Nash Equilibrium A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.
9 Applications of Nash Equilibrium A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.
10 NPerson Games A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.
11 Sequential vs. Simultaneous Move,Subgame Perfection, Repeated Games A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.
12 Incomplete Information Games, Signaling, Market Games A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.
13 Review
14 Term Projects, Presentations
15 Term Projects, Presentations
16 Review of the Semester

 

Course Notes/Textbooks A.K. Dixit and S. Skeath, Games of Strategy, Norton, 2009.A.K. Dixit and B.J. Nalebuff, Thinking Strategically: The Competitive Edge in Business, Politics, and Everyday Life, Norton, 1993.
Suggested Readings/Materials

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
2
20
Presentation / Jury
1
10
Project
1
20
Seminar / Workshop
Oral Exams
Midterm
1
20
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
70
Weighting of End-of-Semester Activities on the Final Grade
30
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
4
56
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
2
5
10
Presentation / Jury
1
10
10
Project
1
20
20
Seminar / Workshop
0
Oral Exam
0
Midterms
1
14
14
Final Exam
1
22
22
    Total
180

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have adequate knowledge in Mathematics, Science and Industrial Engineering; to be able to use theoretical and applied information in these areas to model and solve Industrial Engineering problems.

X
2

To be able to identify, formulate and solve complex Industrial Engineering problems by using state-of-the-art methods, techniques and equipment; to be able to select and apply proper analysis and modeling methods for this purpose.

X
3

To be able to analyze a complex system, process, device or product, and to design with realistic limitations to meet the requirements using modern design techniques.

X
4

To be able to choose and use the required modern techniques and tools for Industrial Engineering applications; to be able to use information technologies efficiently.

X
5

To be able to design and do simulation and/or experiment, collect and analyze data and interpret the results for investigating Industrial Engineering problems and Industrial Engineering related research areas.

6

To be able to work efficiently in Industrial Engineering disciplinary and multidisciplinary teams; to be able to work individually.

X
7

To be able to communicate effectively in Turkish, both orally and in writing; to be able to author and comprehend written reports, to be able to prepare design and implementation reports, to present effectively; to be able to give and receive clear and comprehensible instructions

8

To have knowledge about contemporary issues and the global and societal effects of Industrial Engineering practices on health, environment, and safety; to be aware of the legal consequences of Industrial Engineering solutions.

9

To be aware of professional and ethical responsibility; to have knowledge of the standards used in Industrial Engineering practice.

10

To have knowledge about business life practices such as project management, risk management, and change management; to be aware of entrepreneurship and innovation; to have knowledge about sustainable development.

11

To be able to collect data in the area of Industrial Engineering; to be able to communicate with colleagues in a foreign language.

12

To be able to speak a second foreign at a medium level of fluency efficiently.

13

To recognize the need for lifelong learning; to be able to access information, to be able to stay current with developments in science and technology; to be able to relate the knowledge accumulated throughout the human history to Industrial Engineering.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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