Eskisehir Technical University Info Package Eskisehir Technical University Info Package
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About the Program Educational Objectives Key Learning Outcomes Course Structure Diagram with Credits Field Qualifications Matrix of Course& Program Qualifications Matrix of Program Outcomes&Field Qualifications
  • Faculty of Science
  • Department of Mathematics
  • Course Structure Diagram with Credits
  • Game Theory
  • Description
  • Description
  • Learning Outcomes
  • Course's Contribution to Prog.
  • Learning Outcomes & Program Qualifications

Course Introduction Information

Code - Course Title MAT410 - Game Theory
Course Type Area Elective Courses
Language of Instruction Türkçe
Laboratory + Practice 3+0
ECTS 5.0
Course Instructor(s) PROFESÖR SERKAN ALİ DÜZCE
Mode of Delivery The mode of delivery of this course is Face to face.
Prerequisites There is no prerequisite or co-requisite for this course.
Courses Recomended There is no recommended optional programme component for this course.
Recommended Reading List
Assessment methods and criteria 1 Midterm & 1 Final Exam & 4 Assignments
Work Placement N/A
Sustainability Development Goals

Content

Weeks Topics
Week - 1 Game notion. Examples. Terminology of game theory
Week - 2 Two-Person Zero-Sum games. Payoff matrix. Maxmin criterion. Mixed strategies. Optimal Strategy.
Week - 3 Minimax (von Neumann) theorem. Equilibrium strategies and properties. Solution concept. Domination.
Week - 4 Worthwhile strategies. (2xm) games solving method. Examples.
Week - 5 Linear programming problem. Duality. (nxm) games solving method.
Week - 6 Brown-Robinson method.
Week - 7 Two-Person Non-Zero-Sum games. Payoff table. Mixed strategies. Maxmin strategies of the game.
Week - 8 Examples of Two-Person Non-Zero-Sum games and equilibrium pairs.
Week - 9 Existense of the equilibrium pairs. Nash theorem.
Week - 10 Finding the equilibrium pairs of (nxm) Two-Person Non-Zero-Sum games. Swastika method.
Week - 11 Solution concept of Two-Person Non-Zero-Sum games. Solution in the Nash sense. Solution in the strict sense.
Week - 12 Cooperative games. Jointly randomised strategies. Bargaining set.
Week - 13 Nash bargaining axioms. Existence of arbitration prosedure.
Week - 14 Maxmin bargaining solution. Nash bargaining solution. Examples.

Learning Activities and Teaching Methods

  • Teaching Methods
  • Lecture
  • Question & Answer
  • Problem Solving
  • Competences
  • Rational
  • Abstract analysis and synthesis
  • Problem solving
  • Elementary computing skills

Assessment Methods

Assessment Method and Passing Requirements
Quamtity Percentage (%)
2.Midterm Exam 1 30
Homework 1 30
Final Exam 1 40
Toplam (%) 100
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