FACULTY OF ARTS AND SCIENCES

Department of Mathematics

MATH 450 | Course Introduction and Application Information

Course Name
Game Theory
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
MATH 450
Fall/Spring
3
0
3
7

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
First Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator
Course Lecturer(s)
Assistant(s)
Course Objectives The aim of this course is to enable the student to understand the concepts of games theory that maximize the earnings of the person or the institution in the relationships between people and institutions.
Learning Outcomes The students who succeeded in this course;
  • will be able to interpret elements of a game and payoffs games.
  • will be able to use analyze Prisoner's dilemma.
  • will be able to develop strategic thinking skills using game theory strategies.
  • will be able to analyze Nash theory, Nash equilibrium, applications of Nash equilibrium.
  • will be able to discuss games such as wholly knowledge-based games, repeated games, sequential games, incomplete knowledge based games, market games.
Course Description Elements of a Game and Payoffs Games, Prisoner's dilemma,Intro to ComlabGames Software, Strategies, Sequential Move Games, Risk and Probabilities, Simultaneous Move Games, Nash Theory, Incomplete Information Games

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Introduction to game theory, elements of a game theory "A Guide to Game Theory" by Fiona Carmichael, Pearson Education Canada, 1st Edition, 2005. ISBN-13: 978-0273684961​ Section 1.1, 1.2
2 Two person zero sum games "A Guide to Game Theory" by Fiona Carmichael, Pearson Education Canada, 1st Edition, 2005. ISBN-13: 978-0273684961​ Section 1.3
3 Thinking strategically: Strategies, dominant strategies, strictly dominant strategies "A Guide to Game Theory" by Fiona Carmichael, Pearson Education Canada, 1st Edition, 2005. ISBN-13: 978-0273684961​ Sections 2.1, 2.2
4 Sequential move games "A Guide to Game Theory" by Fiona Carmichael, Pearson Education Canada, 1st Edition, 2005. ISBN-13: 978-0273684961​ Section 1.4
5 Simultaneous Move Games: Mixed strategies, best response functions "A Guide to Game Theory" by Fiona Carmichael, Pearson Education Canada, 1st Edition, 2005. ISBN-13: 978-0273684961​ Section 6.1
6 Prisoner's dilemma "A Guide to Game Theory" by Fiona Carmichael, Pearson Education Canada, 1st Edition, 2005. ISBN-13: 978-0273684961​ Chapter 3
7 Midterm -
8 Nash theory, Nash equilibrium "A Guide to Game Theory" by Fiona Carmichael, Pearson Education Canada, 1st Edition, 2005. ISBN-13: 978-0273684961​ Section 2.3
9 Applications of Nash equilibrium "A Guide to Game Theory" by Fiona Carmichael, Pearson Education Canada, 1st Edition, 2005. ISBN-13: 978-0273684961​ Section 2.3
10 N person games "A Guide to Game Theory" by Fiona Carmichael, Pearson Education Canada, 1st Edition, 2005. ISBN-13: 978-0273684961​ Section 1.7
11 Sequential vs. simultaneous move, subgame perfection, repeated games "A Guide to Game Theory" by Fiona Carmichael, Pearson Education Canada, 1st Edition, 2005. ISBN-13: 978-0273684961​ Section 4.1, 1.5
12 Incomplete information games, signaling, market games "A Guide to Game Theory" by Fiona Carmichael, Pearson Education Canada, 1st Edition, 2005. ISBN-13: 978-0273684961​ Sections 7.1, 7.2, 7.3
13 Term Projects, presentations
14 Term Projects, presentations
15 Semester Review
16 Final Exam

 

Course Notes/Textbooks

"A Guide to Game Theory" by Fiona Carmichael, Pearson Education Canada, 1st Edition, 2005. ISBN-13: 978-0273684961​

Suggested Readings/Materials

"Strategies and Games" by Prajit Dutta, The MIT Press, 1/27/99 Edition, 1999. ISBN-13: 978-0262041690

"Game Theory for Applied Economists" by Robert Gibbons, Princeton University Press, Reprint edition,1992. ISBN-13: 978-0691003955

"Games and Decisions: Introduction and Critical Survey" by Luce, R.D. and Raiffa, H,  Dover Publications, Reprinted Edition, 1989. ISBN-13: 978-0486659435

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
2
20
Presentation / Jury
1
10
Project
1
20
Seminar / Workshop
Oral Exams
Midterm
1
20
Final Exam
1
30
Total

Weighting of Semester Activities on the Final Grade
5
70
Weighting of End-of-Semester Activities on the Final Grade
1
30
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
3
42
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
2
10
20
Presentation / Jury
1
15
15
Project
1
20
20
Seminar / Workshop
0
Oral Exam
0
Midterms
1
30
30
Final Exam
1
35
35
    Total
210

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To be able to have a grasp of basic mathematics, applied mathematics or theories and applications of statistics.

2

To be able to use advanced theoretical and applied knowledge, interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the fields of mathematics or statistics.

X
3

To be able to apply mathematics or statistics in real life phenomena with interdisciplinary approach and discover their potentials.

X
4

To be able to evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach and develop positive attitude towards lifelong learning.

X
5

To be able to share the ideas and solution proposals to problems on issues in the field with professionals, non-professionals.

6

To be able to take responsibility both as a team member or individual in order to solve unexpected complex problems faced within the implementations in the field, planning and managing activities towards the development of subordinates in the framework of a project.

7

To be able to use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge.

8

To be able to act in accordance with social, scientific, cultural and ethical values on the stages of gathering, implementation and release of the results of data related to the field.

9

To be able to possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also environmental protection, worker's health and security.

X
10

To be able to connect concrete events and transfer solutions, collect data, analyze and interpret results using scientific methods and having a way of abstract thinking.

X
11

To be able to collect data in the areas of Mathematics or Statistics and communicate with colleagues in a foreign language.

12

To be able to speak a second foreign language at a medium level of fluency efficiently.

13

To be able to relate the knowledge accumulated throughout the human history to their field of expertise.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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