Home  »  Institute of Science »  Master's of Engineering and Technology Management with Thesis

COURSE UNIT TITLECOURSE UNIT CODESEMESTERTHEORY + PRACTICE (Hour)ECTS
GAME THEORY MT515 - 3 + 0 10

TYPE OF COURSE UNITElective Course
LEVEL OF COURSE UNITMaster's Degree With Thesis
YEAR OF STUDY-
SEMESTER-
NUMBER OF ECTS CREDITS ALLOCATED10
NAME OF LECTURER(S)Professor İmdat Kara
LEARNING OUTCOMES OF THE COURSE UNIT At the end of this course, the students;
1) Improve the ability to develope strategic thinking skills
2) In order to achieve healthy decisions more closely monitor the behavior of competitors and give healthy decisions
MODE OF DELIVERYFace to face
PRE-REQUISITES OF THE COURSENo
RECOMMENDED OPTIONAL PROGRAMME COMPONENTNone
COURSE DEFINITIONMatrix games, description and basis notions. Minmax theory,2x2 games,2xn games,mx2 games,mxn games,diagonal games, symmetry games.Infinite opponent games.Partner and non partner games.Staggered games and different applications.
COURSE CONTENTS
WEEKTOPICS
1st Week Matrix games, description and basis notions.
2nd Week Matrix games, description and basis notions.
3rd Week Minmax theory,
4th Week 2x2 games,
5th Week 2xn games,
6th Week mx2 games,
7th Week mxn games,
8th Week MIDTERM
9th Week Diagonal games,
10th Week symmetry games.
11th Week Infinite opponent games.
12th Week Partner and non partner games.
13th Week Staggered games and different applications.
14th Week Student Projects
RECOMENDED OR REQUIRED READING(1) Gibbons, Robert, Game Theory for Applied Economists, Princeton University Press
(2) Osborne M. and A. Rubinstein, A Course in Game Theory, The MIT Press
PLANNED LEARNING ACTIVITIES AND TEACHING METHODSLecture,Discussion,Questions/Answers,Case Study,Problem Solving,Project,Report Preparation,Presentation
ASSESSMENT METHODS AND CRITERIA
 QuantityPercentage(%)
Mid-term130
Project120
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 exam122
Preparation for Quiz
Individual or group work1414196
Preparation for Final exam12525
Course hours14342
Preparation for Midterm exam12525
Laboratory (including preparation)
Final exam122
Homework11414
Total Workload306
Total Workload / 3010,2
ECTS Credits of the Course10
LANGUAGE OF INSTRUCTIONTurkish
WORK PLACEMENT(S)No
  

KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)
LO1LO2
K1  X  
K2  X  
K3    X
K4   
K5   
K6   
K7   
K8   
K9   
K10   
K11