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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS ISL 4030 GAME THEORY ELECTIVE 3 0 0 4

Offered By

Business Administration

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ALI ÖZDEMIR

Offered to

Course Objective

Aimed to develop the ability of any decision problem in the form of game theory and the structure

Learning Outcomes of the Course Unit

1   Being in competition case or in cases of the movement in together, ability to optimize the gains of their own group or individual basis. 2   Able to understand what is the concept of strategy and the right strategy is a critical element. 3   Able to understand game theory is a wide field application and it is an effective technique in a competitive environment 4   In order to gain sustainable earning competitors will also need to win 5   Ability to see the effectiveness of the application of game theory in parallel with information systems

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to the Game Theory, Game Concept and Game Theory, The Historical Development of Game Theory, Basic Concepts of Game Theory 2 Introduction to the Game Theory, Strategies, and Game Matrix and Value of Game, Game Classification 3 Game Theory Problems and Solution Methods, Solution of Balance Point two-person zero-sum games, Maxmin and Minimax Principle, Co-Strategies and Dominant Strategies 4 Solution Methods, Solution of Balance Point two player game, Solution with Algebraic Methods, Solution with Matrix Method, Sub Game Solution Method, Graphical Solution Method 5 Linear Programming and Game Theory 6 Nash Equilibrium 7 Missing Informed Games, Bayesian Decision Theory and Bayesian-Nash Equilibrium 8 Midterm 9 Midterm 10 Implementation of Game Theory in different fields and Game Theory in the field of sport, Economics, Biology and other areas 11 Relationship between Quantitative Decision Making Techniques and Game Theory, Benefit Theory, Dynamic Programming, Linear Programming, AHP, and so on. 12 Game Theory and Business Applications 13 Game Theory and Applications in other areas 14 Information Systems and Game Theory

Recomended or Required Reading

Hamdy Taha, Operations Research Nash F. J. Essays On Game Theory , Edward Elgar Publishing Company, NewYork, 1996 http://oyc.yale.edu/economics/game-theory/ Driessen T., Cooparative Games, Solutions and Applications, Kluwer Academic Publishers, 1988 Giz Deniz, Oyun Teorisi ve Iktisadi Uygulamaları, Filiz Kitabevi, Istanbul, 2003

Planned Learning Activities and Teaching Methods

Theoretical explanation of the course, Case Analysis, Introduction to Sample Applications and Term Papers are being prepared by student.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 STT TERM WORK (SEMESTER) 2 MTE MIDTERM EXAM 3 MTEG MIDTERM GRADE STT * 0.50 +MTE * 0.50 4 FIN FINAL EXAM 5 FCG FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 6 RST RESIT 7 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60 *** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

yilmaz.goksen@deu.edu.tr,

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 12 3 36 Preparation for midterm exam 1 8 8 Preparation for final exam 1 10 10 Preparing assignments 1 14 14 Preparing presentations 1 2 2 Preparations before/after weekly lectures 12 3 36 Midterm 1 1 1 Final 1 1 1 TOTAL WORKLOAD (hours) 108

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 PO.14 PO.15 LO.1 1 LO.2 1 LO.3 1 LO.4 1 LO.5 1