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Course Detail

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to GAME THEORYIND3115968Fall Semester3+036
Course Program

Salı 12:00-12:45

Salı 12:45-13:30

Salı 13:30-14:15

Salı 14:30-15:15

Çarşamba 12:45-13:30

Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)Assist.Prof. Orhan İlker BAŞARAN
Assistant(s)
AimThis course aims to introduce concepts in Game Theory as a decision making procedure for engineering problems.
Course ContentThis course contains; Games of Strategy
,Maths Review
,Game Representations
,Dominated Strategies,Equilibrium,Mixed Strategies,Equilibrium in Nonmatrix Games - Part 1,Equilibrium in Nonmatrix Games - Part 2,Equilibrium Selection,Subgame Perfection - Part 1,Subgame Perfection - Part 2,Finitely Repeated Games,Finitely Repeated Games,General Review.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Identifies game theory problems.10, 11, 12, 9A
Solves simple game theory problems.10, 11, 12, 13, 9A
Analyzes sequential games.10, 11, 12, 13, 9A
Finds equilibrium in nonmatrix games.10, 11, 12, 13, 9A
Analyzes repeated games.10, 11, 12, 13, 9A
Teaching Methods:10: Discussion Method, 11: Demonstration Method, 12: Problem Solving Method, 13: Case Study Method, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1Games of Strategy
Lectures Notes
2Maths Review
Lectures Notes
3Game Representations
Lectures Notes
4Dominated StrategiesLectures Notes
5EquilibriumLectures Notes
6Mixed StrategiesLectures Notes
7Equilibrium in Nonmatrix Games - Part 1Lectures Notes
8Equilibrium in Nonmatrix Games - Part 2Lectures Notes
9Equilibrium SelectionLectures Notes
10Subgame Perfection - Part 1Lectures Notes
11Subgame Perfection - Part 2Lectures Notes
12Finitely Repeated GamesLectures Notes
13Finitely Repeated GamesLectures Notes
14General ReviewLectures Notes
Resources
Jeffrey Carpenter and Andrea Robbett, (2022), Game Theory and Behavior, The MIT Press, Cambridge, Massachusetts ve London, England

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours14342
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report000
Term Project000
Presentation of Project / Seminar000
Quiz000
Midterm Exam7856
General Exam91090
Performance Task, Maintenance Plan000
Total Workload(Hour)188
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(188/30)6
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to GAME THEORYIND3115968Fall Semester3+036
Course Program

Salı 12:00-12:45

Salı 12:45-13:30

Salı 13:30-14:15

Salı 14:30-15:15

Çarşamba 12:45-13:30

Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelFirst Cycle (Bachelor's Degree)
Course TypeElective
Course CoordinatorAssoc.Prof. Melis Almula KARADAYI
Name of Lecturer(s)Assist.Prof. Orhan İlker BAŞARAN
Assistant(s)
AimThis course aims to introduce concepts in Game Theory as a decision making procedure for engineering problems.
Course ContentThis course contains; Games of Strategy
,Maths Review
,Game Representations
,Dominated Strategies,Equilibrium,Mixed Strategies,Equilibrium in Nonmatrix Games - Part 1,Equilibrium in Nonmatrix Games - Part 2,Equilibrium Selection,Subgame Perfection - Part 1,Subgame Perfection - Part 2,Finitely Repeated Games,Finitely Repeated Games,General Review.
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Identifies game theory problems.10, 11, 12, 9A
Solves simple game theory problems.10, 11, 12, 13, 9A
Analyzes sequential games.10, 11, 12, 13, 9A
Finds equilibrium in nonmatrix games.10, 11, 12, 13, 9A
Analyzes repeated games.10, 11, 12, 13, 9A
Teaching Methods:10: Discussion Method, 11: Demonstration Method, 12: Problem Solving Method, 13: Case Study Method, 9: Lecture Method
Assessment Methods:A: Traditional Written Exam

Course Outline

OrderSubjectsPreliminary Work
1Games of Strategy
Lectures Notes
2Maths Review
Lectures Notes
3Game Representations
Lectures Notes
4Dominated StrategiesLectures Notes
5EquilibriumLectures Notes
6Mixed StrategiesLectures Notes
7Equilibrium in Nonmatrix Games - Part 1Lectures Notes
8Equilibrium in Nonmatrix Games - Part 2Lectures Notes
9Equilibrium SelectionLectures Notes
10Subgame Perfection - Part 1Lectures Notes
11Subgame Perfection - Part 2Lectures Notes
12Finitely Repeated GamesLectures Notes
13Finitely Repeated GamesLectures Notes
14General ReviewLectures Notes
Resources
Jeffrey Carpenter and Andrea Robbett, (2022), Game Theory and Behavior, The MIT Press, Cambridge, Massachusetts ve London, England

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in the solution of complex engineering problems.
X
2
Ability to formulate, and solve complex engineering problems; ability to select and apply proper analysis and modeling methods for this purpose.
X
3
Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
X
4
Ability to select and use modern techniques and tools needed for analyzing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
X
5
Ability to design and conduct experiments, gather data, analyze and interpret results for investigating complex engineering problems or discipline specific research questions.
X
6
Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
X
7
Ability to communicate effectively, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8
Awareness of the need for lifelong learning; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
X
9
Knowledge on behavior according ethical principles, professional and ethical responsibility and standards used in engineering practices.
10
Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11
Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 30
Rate of Final Exam to Success 70
Total 100

Numerical Data

Ekleme Tarihi: 09/10/2023 - 10:42Son Güncelleme Tarihi: 09/10/2023 - 10:43