Course Details

Course Information

Semester	Course Unit Code	Course Unit Title	T+P+L	Credit	Number of ECTS Credits	Last Updated Date
8	ECON442	GAME THEORY	3+0+0	3	4	14.05.2025

Course Details

Language of Instruction	English
Level of Course Unit	Bachelor's Degree
Department / Program	ECONOMICS
Type of Program	Formal Education
Type of Course Unit	Elective
Course Delivery Method	Face To Face
Objectives of the Course	Providing a general introduction to game theory. Introducing the concept of Nash Equilibrium. Developing hands on experience on the construction of games from various interactions. Forming a game theoretical basis for analyzing, understanding and predicting the outcomes of various interactions.
Course Content	The course is designed to introduce and examine the fundamentals of equilibrium concepts and related tools in games of complete and incomplete information. Different types of games and existing classifications for these games are introduced. Concepts of Nash equilibrium, Pareto-efficiency, best-response analysis, maximinminimax methods, solving games with sequential and simultaneous moves, and related subjects are examined throughout the course.
Course Methods and Techniques	-
Prerequisites and co-requisities	None
Course Coordinator	None
Name of Lecturers	Associate Prof.Dr. UMUT TÜRK umut.turk@agu.edu.tr
Assistants	None
Work Placement(s)	No

Recommended or Required Reading

Resources	-
Course Notes	-

Planned Learning Activities and Teaching Methods

Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria

In-Term Studies	Quantity	Percentage
Yarıyıl İçi Çalışmalarının Başarı Notunun Katkısı	1	% 40
Final examination	1	% 60
Total	2	% 100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration	Total Work Load
Tartışma	14	1	14
Yazılı Sınav	1	3	3
Ev Ödevi	10	2	20
Okuma	14	3	42
Derse Devam	14	3	42
Final Sınavı	1	3	3
Total Work Load			Number of ECTS Credits 4 124

Course Learning Outcomes: Upon the successful completion of this course, students will be able to:

No	Learning Outcomes
1	Distinguish simultaneous and sequential games
2	Determine Nash equilibrium (if any) in various types of games
3	Analyze the implications of Nash equilibrium and Pareto Efficiency
4	Solve mixed and continuous games

Weekly Detailed Course Contents

Week	Topics	Study Materials	Materials
1	Introduction to Game Theory
2	Static Games of Complete Information I – Concepts and Representation
3	Static Games of Complete Information II – Nash Equilibrium
4	Mixed Strategy Equilibrium
5	Pareto Efficiency and Social Optimum
6	Comparative Statics and Strategic Behavior
7	Midterm Review + Problem Solving Workshop
8	Midterm Exam
9	Dynamic Games of Perfect Information – Extensive Form
10	Repeated Games and Strategies Over Time
11	Dynamic Games of Incomplete Information – Bayesian Games
12	Signaling and Screening Games
13	Advanced Applications + Case Studies
14	Final Presentations

Contribution of Learning Outcomes to Programme Outcomes

Contribution: 1: Very Slight 2:Slight 3:Moderate 4:Significant 5:Very Significant

https://sis.agu.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=72359&lang=en