Information Package

Master's of Engineering and Technology Management with Thesis

MT515

GAME THEORY

Course Code
MT515
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

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
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionMatrix 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
WEEK TOPICS
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
Recommended 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 Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Case Study
  • Problem Solving
  • Project
  • Report Preparation
  • Presentation
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 30
Project 1 20
Total(%) 50
Contribution of In-term Studies to Overall Grade(%) 50
Contribution of Final Examination to Overall Grade(%) 50
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work 14 14 196
Preparation for Final exam 1 25 25
Course hours 14 3 42
Preparation for Midterm exam 1 25 25
Laboratory (including preparation)
Final exam 1 2 2
Homework 1 14 14
Total Work Load306
Total Work Load / 30 (h)10.2
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2
K1 X
K2 X
K3 X
K4
K5
K6
K7
K8
K9
K10
K11