Academic Year |
2024Year |
School/Graduate School |
Graduate School of Humanities and Social Sciences (Master's Course) Division of Humanities and Social Sciences International Economic Development Program |
Lecture Code |
WMH02401 |
Subject Classification |
Specialized Education |
Subject Name |
Game Theory |
Subject Name (Katakana) |
ゲームリロン |
Subject Name in English |
Game Theory |
Instructor |
CARO-BURNETT JOHANN |
Instructor (Katakana) |
カロ バーネット ヨハン |
Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, 1Term |
Days, Periods, and Classrooms |
(1T) Tues1-4:IDEC 203 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
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Credits |
2.0 |
Class Hours/Week |
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Language of Instruction |
E
:
English |
Course Level |
6
:
Graduate Advanced
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Course Area(Area) |
24
:
Social Sciences |
Course Area(Discipline) |
03
:
Economics |
Eligible Students |
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Keywords |
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Special Subject for Teacher Education |
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Special Subject |
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Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
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Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | |
Class Objectives /Class Outline |
The goal of this course is to provide an introduction to game theory. The course is designed for graduate students and advanced undergraduate students with a solid mathematical background. We will formally define games and equilibrium concepts, and we will also study examples. |
Class Schedule |
Lecture 1: Introduction and Motivation Lecture 2: Definition of a Game, Dominance, Nash Equilibrium Lecture 3: Mixed Strategies and Existence of Nash Equilibrium Lecture 4: Equilibrium Refinements Lecture 5: Extensive Form Games Lecture 6: Subgame Perfect Equilibrium Lectures 7 & 8: Midterm Lectures 7 & 8: Midterm Lecture 9: Review and Bayes Theorem Lecture 10: Types and Bayesian Games Lecture 11: Sequential Equilibrium Lecture 12: Repeated Games I Lecture 13: Repeated Games II Lecture 14: Markov Perfect Equilibrium Lecture 15: Final Exam |
Text/Reference Books,etc. |
Lecture notes |
PC or AV used in Class,etc. |
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Learning techniques to be incorporated |
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Suggestions on Preparation and Review |
Nothing is strictly required |
Requirements |
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Grading Method |
20% Weekly problem sets. 30% Midterm exam. 50% Final exam. |
Practical Experience |
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Summary of Practical Experience and Class Contents based on it |
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Message |
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Other |
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Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching. |