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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
EKON 405GAME THEORY - I3 + 07th Semester5

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective Game theory aims to help us understand situations in which decision makers interact. Main focus of the lesson is the use of the game theory to illuminate economic phenomena.
Course Content -Nash equilibrium -Mixed strategic equilibrium -Extensive game with perfect information -Repeated games .
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Learns static game theories and solution techniques
2Analyses and interprets the dynamic game theories and solution techniques.

COURSE'S CONTRIBUTION TO PROGRAM
Data not found.

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14342
Hours for off-the-classroom study (Pre-study, practice)14342
Assignments5525
Mid-terms11010
Final examination11111
Total Work Load

ECTS Credit of the Course






130

5
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2019-2020 Fall3HALİL TUNCA


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
EKON 405 GAME THEORY - I 3 + 0 3 Turkish 2019-2020 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. HALİL TUNCA htunca@pau.edu.tr İİBF C0207 %
Goals Game theory aims to help us understand situations in which decision makers interact. Main focus of the lesson is the use of the game theory to illuminate economic phenomena.
Content -Nash equilibrium -Mixed strategic equilibrium -Extensive game with perfect information -Repeated games .
Topics
WeeksTopics
1 Introduction to Game Theory
2 Nash Equilibrium: Theory
3 Nash Equilibrium Models
4 Mixed Strategy Equilibrium
5 Extensive Games with Perfect Information: Theory
6 Extensive Games with Perfect Information: Applications
7 Extensive Games with Perfect Information: Extensions and Discussion
8 Mid Term Examination
9 Coalitional games and the Core
10 Bayesian Games
11 Extensive Games with Imperfect Information
12 Evolutionary Equilibrium
13 Repeated Games
14 Bargaining Models
Materials
Materials are not specified.
Resources
ResourcesResources Language
Martin Osborne: An Introduction to Game TheoryEnglish
Hakan Karabacak, Herkes için Oyun Teorisi, Seçkin KitabeviTürkçe
Ensar Yılmaz, Oyun Teorisi, Lİteratür YayıncılıkTürkçe
Khalik G. Guseinov, Emrah Akyar, Serkan A. Düzce, Oyun Teorisi, Seçkin KitabeviTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam40Final Exam
Midterm Exam30Midterm Exam
Homework30Homework
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes