Master of Science in Industrial Engineering

Game Theory And Its Applications(IND 515)

Course Code Course Name Semester Theory Practice Lab Credit ECTS
IND 515 Game Theory And Its Applications 1 3 0 0 3 6
Prerequisites
Admission Requirements
Language of Instruction English
Course Type Elective
Course Level Masters Degree
Course Instructor(s) Abdullah Çağrı TOLGA ctolga@gsu.edu.tr (Email)
Assistant
Objective Game Theory is used in this course to study incentives and strategic behavior in practical situations of inter-dependent decision making. The course will develop better understanding of the basic theoretical results in game theory and their proofs. Balanced time to both theory and applications will be spent. There will be such applications on economic models, auction theory and so on. The participants are encouraged to work on their special interests, e.g. business, politics, etc. of course including Game Theory in their assignments.
The goals of the course to provide participants with a foundation to:
Develop familiarity with basic results in game theory;
Develop a familiarity with mathematical tools used in game theory;
Understand the assumptions and the limitations of results in game theory, and the questions that result from those;
Understand the application topics of game theory;
Develop the ability to read papers involving game theory, and understand the technical parts of the papers.
Content Introduction, Why study Games? A brief history, The assumptions of Game Theory, Classifying Games
Static Games of Complete Information: Basic Theory and Nash Equilibrium
Static Games of Complete Information: Applications and Mixed Strategies
Static Games of Complete Information: Mixed Strategies and Existence of a Nash Equilibrium
Dynamic Games of Complete Information: Complete and perfect information and two-stage games of complete but imperfect information
Dynamic Games of Complete Information: Repeated games and dynamic games with complete but imperfect information
Static Games of Incomplete Information: Bayesian Games and Bayesian Nash Equilibrium
Static Games of Incomplete Information: Mixed strategies and an auction
Dynamic Games of Incomplete Information: Perfect Bayesian Equilibrium and signaling games
Case Study;-Finance, Accounting, Operations Management and Information systems
Case Study; Incentive contractions and the Franchise Decision, Cooperative games and business strategy, The practice of bargaining
Course Learning Outcomes 1: Describes the basics of Game Theory;
2: Solves the problems in Nash Equilibrium and Mixed-strategies topics;
3: Discriminates the dynamic and static games;
4: Analyzes perfect and imperfect information games;
5: Evaluates different cases based on game theory;
6: Comments on academicals papers containing game theory.
Teaching and Learning Methods
References Gibbons, Robert, “Game Theory for Applied Economists”, Princeton University Press, 1992.
Osborne, Martin J., and Rubinstein, Ariel, “A Course in Game Theory”, MIT Press, 1994.
Chatterjee, K., Samuelson, W. F., “Game Theory and Business Applications”, Kluwer Academic Publishers, 2002.
Geçkil, Ilhan Kubilay, and Anderson, Patrick L., “Applied Game Theory and Strategic Behavior”, CRC Press, 2010.
Fudenberg, Drew, and Tirole, Jean, “Game Theory”, 5th Edition, MIT Press, 1996.
Print the course contents
Theory Topics
Week Weekly Contents
1 Introduction, Why study Games? A brief history, The assumptions of Game Theory, Classifying Games
2 Static Games of Complete Information: Basic Theory and Nash Equilibrium
3 Static Games of Complete Information: Applications and Mixed Strategies
4 Static Games of Complete Information: Mixed Strategies and Existence of a Nash Equilibrium
5 Dynamic Games of Complete Information: Complete and perfect information and two-stage games of complete but imperfect information
6 Dynamic Games of Complete Information: Repeated games and dynamic games with complete but imperfect information
7 Static Games of Incomplete Information: Bayesian Games and Bayesian Nash Equilibrium
8 Static Games of Incomplete Information: Mixed strategies and an auction
9 Dynamic Games of Incomplete Information: Perfect Bayesian Equilibrium and signaling games
10 Case Study;-Finance, Accounting, Operations Management and Information systems
11 Case Study; Incentive contractions and the Franchise Decision, Cooperative games and business strategy, The practice of bargaining
Practice Topics
Week Weekly Contents
Contribution to Overall Grade
  Number Contribution
Contribution of in-term studies to overall grade 7 60
Contribution of final exam to overall grade 1 40
Toplam 8 100
In-Term Studies
  Number Contribution
Assignments 4 20
Presentation 0 0
Midterm Examinations (including preparation) 1 15
Project 0 0
Laboratory 0 0
Other Applications 0 0
Quiz 1 10
Term Paper/ Project 1 15
Portfolio Study 0 0
Reports 0 0
Learning Diary 0 0
Thesis/ Project 0 0
Seminar 0 0
Other 0 0
Toplam 7 60
No Program Learning Outcomes Contribution
1 2 3 4 5
1 X
2 X
3 X
4 X
5 X
6 X
7 X
8 X
9 X
10 X
11 X
12 X
Activities Number Period Total Workload
Class Hours 14 3 42
Working Hours out of Class 13 3 39
Assignments 4 10 40
Presentation 0 0 0
Midterm Examinations (including preparation) 1 10 10
Project 1 0 0
Laboratory 0 0 0
Other Applications 0 0 0
Final Examinations (including preparation) 1 15 15
Quiz 1 3 3
Term Paper/ Project 1 30 30
Portfolio Study 0 0 0
Reports 0 0 0
Learning Diary 0 0 0
Thesis/ Project 0 0 0
Seminar 0 0 0
Other 0 0 0
Total Workload 179
Total Workload / 25 7,16
Credits ECTS 7
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