TYPE OF COURSE UNIT	Elective Course
LEVEL OF COURSE UNIT	Master's Degree With Thesis
YEAR OF STUDY	-
SEMESTER	-
NUMBER OF ECTS CREDITS ALLOCATED	10
NAME OF LECTURER(S)	. Servıs Servıs
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) become familiar with the use of game theory models used in economics. They understand nash equilibrium, subgame perfect equilibrium, bargaining, repeated games and dynamic competition, bayesian nash equilibrium, auctions and perfect bayesian equilibrium in economic problems. 2) become familiar with the game theoretic solution and analysis methods used in game theory models. They understand oligopoly, time-consistent macroeconomic policy, bargaining, auctions, and solution of similar game theoretic problems.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	This course mainly introduces the students graduate level game theory and strategic thinking. Subjects such as dominance, backward induction, Nash equilibrium, commitment, credibility, asymmetric information, and reputation are discussed. Beside, these issues are applied to games in the classroom experiments. During the course main examples are drawn particularly from economics, but also politics, and everyday life.
COURSE CONTENTS	WEEK TOPICS 1st Week Introduction to Game Theory 2nd Week Static games of complete information and Nash equilibrium 3rd Week Static games of complete information: Applications 4th Week Mixed Strategies 5th Week Dynamic games of complete and perfect information 6th Week Repeated games 7th Week Dynamic games of complete but imperfect information 8th Week Mid-Term 9th Week Static games of incomplete information: Bayesian Nash Equilibrium 10th Week Static games of incomplete information: Applications 11th Week Dynamic games of incomplete information: Perfect Bayesian Nash equilibrium 12th Week Signaling games 13th Week Dynamic games of incomplete information: Other applications 14th Week Behavioral game theory
RECOMENDED OR REQUIRED READING	Robert Gibbons, Game Theory for Applied Economists, 1992.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Discussion,Problem Solving
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 40 Assignment 1 10 Total(%) 50 Contribution of In-term Studies to Overall Grade(%) 50 Contribution of Final Examination to Overall Grade(%) 50 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz Individual or group work 14 5 70 Preparation for Final exam 1 70 70 Course hours 14 3 42 Preparation for Midterm exam 1 60 60 Laboratory (including preparation) Final exam 1 2 2 Homework 1 55 55 Total Workload 301 Total Workload / 30 10,03 ECTS Credits of the Course 10
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No