Department of Computer 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	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	Required (Core Course)
Course Level	First Cycle
Mode of Delivery	Face to face
Teaching Methods and Techniques of the Course	Lecture/Presentation
National Occupational Classification Code	-
Course Coordinator	Prof. Dr. Selin Özpeynirci
Course Lecturer(s)	Prof. Dr. Gözde Yazgı Tütüncü
Assistant(s)	-

Course Objectives

The aim of this course is to enable students to understand the concepts of game theory related to maximizing the gains of individuals and/or institutions in interactions between people and/or organizations.

Learning Outcomes

The students who succeeded in this course;

Name	Description	PC Sub	* Contribution Level
Name	Description	PC Sub	1	2	3	4	5
LO1	Students will be able to define the fundamental concepts of game theory.				X
LO2	Students will be able to calculate the outcomes of strategies they develop for different types of games.				X
LO3	Students will be able to apply solution methods for different types of games, including two-person zero-sum games, sequential games, simultaneous games, and N-person games.				X
LO4	Students will be able to apply the principles of the Prisoner’s Dilemma and Nash equilibrium to various game theory problems.				X
LO5	Students will be able to analyze repeated games and games played with incomplete information.				X

Course Description

Basic Concepts of Games; Prisoner’s Dilemma; ComlabGames Software; Strategies; Sequential Moves and Games; Risk and Probabilities; Simultaneous Moves and Games; Nash Theory; Games with Incomplete Information.

Related Sustainable Development Goals

Course Category	Core Courses
	Major Area Courses	X
	Supportive Courses
	Media and Managment Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials	Learning Outcome
1	Introduction to Game Theory and Related Fundamental Concepts	A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.	LO1
2	Strategic Thinking and Strategies	A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.	LO2
3	Two-Person Zero-Sum Games	A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.	LO3
4	Sequential Games	A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.	LO3
5	Simultaneous Games and Mixed Strategies	A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.	LO3
6	Sequential Simultaneous Subgames and Repeated Games	A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.	LO3
7	Review		-
8	Midterm Exam		-
9	N-Person Games	A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.	LO3
10	Prisoner’s Dilemma	A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.	LO4
11	Nash Theory and Nash Equilibrium	A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.	LO4
12	Applications of Nash Equilibrium	A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.	LO4
13	Games with Incomplete Information, Market Games	A Guide to Game Theory, Fiona Carmichael, Practice Hall,England,2005.	LO5
14	End-of-Term Project Presentations		-
15	Review		-
16	Final Exam		-

Course Notes/Textbooks	Luce R. D. & Raiffa H. (1957). Games and decisions: Introduction and critical surveys. New York: Wiley.
Suggested Readings/Materials	Dutta P. K. (1999). Strategies and games: theory and practice. MIT press. Gibbons R. (1992). Game Theory for Applied Economists. Princeton University Press.

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO1	LO2	LO3	LO4	LO5
Homework / Assignments	2	20	X	X	X	X	X
Presentation / Jury	1	10	X	X
Project	1	20	X	X
Midterm	1	20	X	X	X
Final Exam	1	30		X	X	X	X
Total	6	100

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Participation	-	-	-
Theoretical Course Hours	16	3	48
Laboratory / Application Hours	14	4	56
Study Hours Out of Class	-	-	-
Field Work	-	-	-
Quizzes / Studio Critiques	-	-	-
Portfolio	-	-	-
Homework / Assignments	2	6	12
Presentation / Jury	1	8	8
Project	1	20	20
Seminar / Workshop	-	-	-
Oral Exams	-	-	-
Midterms	1	14	14
Final Exam	1	22	22
		Total	180

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
			1	2	3	4	5
No program competency data found.

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

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