COURSE UNIT TITLE

: GAME THEORY

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BIL 3124 GAME THEORY ELECTIVE 3 0 0 5

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSOCIATE PROFESSOR MURAT ERŞEN BERBERLER

Offered to

Computer Science

Course Objective

To teach game theory concepts to solve computer science problems.

Learning Outcomes of the Course Unit

1   Have a knowledge of basic concepts of game theory.
2   Be able to solve problems of game theory.
3   Be able to solve computer science problems by using game theory concepts.
4   Be able to design efficient algorithms by using game theory concepts.
5   Be able to solve problems of different type of disciplines by using concepts of game theory.

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Two-person zero-sum games, basic concepts
2 Two-person zero-sum games, maxmin and minmax criterion
3 Two-person zero-sum games, mixed strategies
4 Two-person zero-sum games, equilibrium strategies Quiz 1
5 Two-person zero-sum games, domination
6 Two-person zero-sum games, solving of 2xm games
7 Two-person zero-sum games, Brown-Robinson method
8 Mid-term exam
9 Two-person non-zero-sum games, bimatrix of game
10 Two-person non-zero-sum games, equilibrium strategies
11 Two-person non-zero-sum games, pareto optimal strategies
12 Two-person non-zero-sum games, solution concept Quiz 2
13 Two-person non-zero-sum games, cooperative games
14 Two-person non-zero-sum games, Nash agreement procedure

Recomended or Required Reading

Oyun Teorisi, Çatışma ve Anlaşmanın Matematiksel Modelleri, Haluk Hüseyin, ISBN 975-02-1182-9.
Oyun Teorisi, Hüsamettin Bakoğlu, ISBN 975-483-112-2.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. Besides the taught lecture, group presentations are to be prepared by the groups assigned and presented in a discussion session. In some weeks of the course, results of the homework given previously are discussed.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 QUZ QUIZ
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + QUZ * 0.20 + FIN * 0.50
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + QUZ * 0.20 + RST * 0.50


*** 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)

murat.berberler@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparations before/after weekly lectures 12 4 48
Preparation for midterm exam 1 8 8
Preparation for final exam 1 10 10
Preparation for quiz etc. 2 6 12
Final 1 2 2
Midterm 1 2 2
Quiz etc. 2 1 2
TOTAL WORKLOAD (hours) 123

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.15
LO.255
LO.3555
LO.455
LO.555