Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
6ECON 304Game Theory3+0+03506.11.2023

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program BA Program in Economics
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Online
Objectives of the Course Game theory analyzes situations in which two or more individuals (or firms, political parties, countries) interact in a strategic manner. It has proved useful in helping us better understand situations involving conflict and/or cooperation and has found many applications in economics, political science, law, and biology. Among those applications are firm competition in markets, technological races, auctions, arms-races among countries, and party competition for votes.
Course Content The purpose of this course is to introduce the basics of game theory to undergraduate students in various disciplines. It focuses on fundamentals of game theory including basic concepts and techniques, various ways of describing and solving games, and various applications in economics, political sciences, and business. It will help students sharpen their understanding of strategic behavior in different situations involving many individuals. The students will learn how to recognize and model strategic situations, to predict when and how their action will have an influence on others, and to exploit strategic situations for the benefit of their own.
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator Prof.Dr. Hasan Vergil hasan.vergil@ihu.edu.tr
Name of Lecturers Asist Prof.Dr. Emrullah Özden emrullah.ozden@ıhu.edu.tr
Assistants None
Work Placement(s) No

Recommended or Required Reading
Resources Avinash K. Dixit, Susan Skeath, David H. Reiley, Games of Strategy (4th Ed.), 2015.
Course Notes Martin J. Osborne, An Introduction to Game Theory, Oxford University Press, 2003

Course Category
Mathematics and Basic Sciences %35
Social Sciences %100
Field %65

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
Mid-terms 1 % 35
Assignment 4 % 20
Final examination 1 % 45
Total
6
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 14 3 42
Hours for off-the-c.r.stud 14 4 56
Assignments 4 5 20
Mid-terms 1 16 16
Final examination 1 16 16
Total Work Load   Number of ECTS Credits 5 150

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Distinguish a game situation from a pure individual’s decision problem
2 Understand concepts of players, strategies, payoffs, rationality, equilibrium
3 Describe sequential games using game trees, and to use the backward induction to solve such games
4 Describe simple simultaneous-move games using game tables, and to explain concepts of dominant, dominated, and rationalizable strategies, pure and mixed strategies, and best responses
5 Find dominant strategy equilibrium, pure and mixed strategy Nash equilibrium
6 Explain concepts of asymmetric information, and to analyze simple signaling games
7 Analyze repeated games

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Strategic Form Games
2 Dominant Strategy Equilibrium and Iterated Elimination of Dominated Actions
3 Nash Equilibrium: Theory
4 Nash Equilibrium: Applications
5 Mixed Strategy Equilibrium
6 Games with Incomplete Information and Bayesian Equilibrium
7 Midterm
8 Auctions
9 Extensive Form Games: Theory - Perfect Information Games and Backward Induction Equilibrium
10 Extensive Form Games: Theory - Imperfect Information Games and Subgame Perfect Equilibrium
11 Extensive Form Games: Applications Part 1
12 Extensive Form Games: Applications Part 2
13 Extensive Form Games with Incomplete Information - Perfect Bayesian Equilibrium
14 Signaling Games

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12
All 4 5 3 4 3 5 4 4 3 3 4 4
C1 3 3 3 4 3 4 3 4 3 4 3 3
C2 3 2 4 2 5 3 4 2 4 3 4 2
C3 3 4 2 3 5 3 3 5 3
C4 5 4 5 4 5 3 5 4 5 5 5
C5 3 5 3 2 4 3 2 5 3 3 4
C6 5 3 4 3 5 5 5 5 5 2
C7 1 3 5 3 5 3

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

  
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