ECON 206 Game TheoryMEF UniversityDegree Programs PsychologyGeneral Information For StudentsDiploma SupplementErasmus Policy Statement
Psychology
Bachelor Length of the Programme: 4 Number of Credits: 240 TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF: Level 6

Ders Genel Tanıtım Bilgileri

School/Faculty/Institute Faculty of Economics, Administrative and Social Sciences
Course Code ECON 206
Course Title in English Game Theory
Course Title in Turkish Oyun Teorisi
Language of Instruction EN
Type of Course Flipped Classroom
Level of Course Intermediate
Semester Spring
Contact Hours per Week
Lecture: 3 Recitation: 0 Lab: 0 Other: 0
Estimated Student Workload 126 hours per semester
Number of Credits 5 ECTS
Grading Mode Standard Letter Grade
Pre-requisites MATH 103 - Mathematics for Social Sciences I
Expected Prior Knowledge MATH 103. The course requires knowledge of linear algebra, logic and probability
Co-requisites None
Registration Restrictions Only undergraduate students
Overall Educational Objective The learners will study the theory of static and dynamic games with complete and incomplete information. Upon successful completion of the course, the participants are expected to be able to comprehend the basic concepts of game theory; model real-life like conflict of interest situations as a game, and analyze them; apply methods to determine equilibrium in games; relate concepts of Game Theory with possible economic and business applications that involve strategic thinking.
Course Description This course covers topics of game theory, including static and dynamic games with complete and incomplete information, Nash, Bayesian Nash, and Perfect Bayesian Equilibrium.
Course Description in Turkish Bu ders Oyun Kuramı’ndaki bazı konuları kapsar. İçerdiği konular tümel ve tikel bilgi altında statik ve dinamik oyunları, Nash, Bayesian, ve Perfect Bayesian Equilibrium şeklindedir.

Course Learning Outcomes and Competences

Upon successful completion of the course, the learner is expected to be able to:
1) Comprehend the basic concepts of game theory
2) Model real-life like conflict of interest situations as a game, and analyze them
3) Apply methods to determine equilibrium in games
4) Relate concepts of Game Theory with possible economic and business applications that involve strategic thinking.
Program Learning Outcomes/Course Learning Outcomes 1 2 3 4
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology.
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation.
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes.
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts.
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline.
6) Internalization and dissemination of professional ethical standards.
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences.
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level).
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity.
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement.
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses.
12) Ability to acquire knowledge independently, and to plan one’s own learning.
13) Demonstration of advanced competence in the clarity and composition of written work and presentations.

Relation to Program Outcomes and Competences

N None S Supportive H Highly Related
     
Program Outcomes and Competences Level Assessed by
1) Thorough knowledge of the major concepts, theoretical perspectives, empirical findings, and historical trends in psychology. N
2) Understanding of and ability to apply essential research methods in psychology, including research design, data analysis, and data interpretation. N
3) Competence to use critical and creative thinking, skeptical inquiry and a scientific approach to solving problems related to behavior and mental processes. H Exam,HW,Participation
4) Understanding and ability to apply psychological principles, skills and values in personal, social, and organizational contexts. N
5) Ability to weigh evidence, to tolerate ambiguity, and to reflect other values that underpin psychology as a discipline. N
6) Internalization and dissemination of professional ethical standards. N
7) Demonstration of competence in information technologies, and the ability to use computer and other technologies for purposes related to the pursuit of knowledge in psychology and the broader social sciences. N
8) Skills to communicate the knowledge of psychological science effectively, in a variety of formats, in both Turkish and in English (in English, at least CEFR B2 level). N
9) Recognition, understanding, and respect for the complexity of sociocultural and international diversity. S Participation
10) Recognition for the need for, and the skills to pursue, lifelong learning, inquiry, and self-improvement. S HW,Participation
11) Ability to formulate critical hypotheses based on psychological theory and literature, and design studies to test those hypotheses. N
12) Ability to acquire knowledge independently, and to plan one’s own learning. S Exam,HW
13) Demonstration of advanced competence in the clarity and composition of written work and presentations. H Exam,HW
Prepared by and Date FIRAT BİLGEL , April 2023
Course Coordinator FIRAT BİLGEL
Semester Spring
Name of Instructor Prof. Dr. FIRAT BİLGEL

Course Contents

Week Subject
1) Introduction: Basic Concepts
2) Games of Complete Information: Normal Form Games and Nash Equilibrium
3) Games of Complete Information: Mixed Strategy Normal Game and Existence of Equilibrium
4) Games of Complete Information: Mixed Strategy Normal Games and Existence of Equilibrium
5) Games of Complete Information: Further Solution Concepts of Normal Games
6) Games of Complete Information: Extensive Games of Perfect Information
7) Games of Complete Information: Extensive Games of Perfect Information
8) Games of Complete Information: Extensive Games of Imperfect Information
9) Games of Complete Information: Repeated Games
10) Games of Incomplete Information: Normal Games and Bayesian-Nash Equilibrium
11) Games of Incomplete Information: Applications and the Revelation Principle
12) Games of Incomplete Information: Extensive Games and Perfect Bayesian Equilibrium
13) Games of Incomplete Information: Signaling Games
14) Review
15) Final Examination Period
16) Final Examination Period
Required/Recommended ReadingsGibbons, R. A Primer in Game Theory. Prentice Hall, 1992 Spaniel, W. Game Theory 101: The Complete Textbook. CreateSpace Independent Publishing Platform, 2011 Osborne, M.J.; Rubinstein, A. A Course on Game Theory, The MIT Press, 1994 Kockesen, L.; Ok, E.A. An Introduction to Game Theory, 2007 Leyton-Brown, K.; Shoham, Y. Essentials of Game Theory: A Concise, Multidisciplinary Introduction, Morgan & Claypool, 2008 Schotter, A. Microeconomics: A Modern Approach (Chapter 7: Game Theory and the Tools of Strategic Business Analysis), Addison Wesley Longman, 2001
Teaching MethodsLectures (Flipped Learning)
Homework and Projectsnone
Laboratory Worknone
Computer Usenone
Other ActivitiesEight scheduled quizzes as part of weekly flipped learning activities.
Assessment Methods
Assessment Tools Count Weight
Attendance 14 % 20
Quiz(zes) 4 % 20
Homework Assignments 5 % 10
Midterm(s) 1 % 20
Final Examination 1 % 30
TOTAL % 100
Course Administration bilgelf@mef.edu.tr

The weekly Flipped Learning Activities that you missed upon the faculty’s approval of your excuse won’t be taken into the calculation of the average. Academic Dishonesty and Plagiarism: YOK Regulation

ECTS Student Workload Estimation

Activity No/Weeks Hours Calculation
No/Weeks per Semester Preparing for the Activity Spent in the Activity Itself Completing the Activity Requirements
Course Hours 14 5 3 1 126
Homework Assignments 14 0 0.5 7
Total Workload 133
Total Workload/25 5.3
ECTS 5