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School of Engineering
- Undergraduate major in Mechanical Engineering
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- School of Materials and Chemical Technology
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- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
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School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Technology and Innovation Management
- Instructor(s)
- Nakamaru Mayuko
- Class Format
- Lecture / Exercise (Livestream)
- Media-enhanced courses
- Day/Period(Room No.)
- Sat7-8(CIC)
- Group
- -
- Course number
- TIM.A414
- Credits
- 1
- Academic year
- 2022
- Offered quarter
- 3Q
- Syllabus updated
- 2022/9/5
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
There are various methods to research topics in social sciences. In this class, students learn how to research social sciences by means of mathematical models and experiments.
Student learning outcomes
In this class, students learn the introduction to game theory, evolutionary game theory, game and questionnaire experiments and then this class makes students think about the application these methods to their master thesis. The students can learn that the various methods developed by various research fields can be applied to the students' research.
Keywords
Game theory, Evolutionary game theory, game experiments, questionnaire experiments
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
In the class students learn the basis knowledge of game theory, evolutionary game theory, game experiments and questionnaire experiments and also the example of these methods which are applied to real situations. Then, students may have a chance to experience the experiments.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | ゲーム理論入門とその応用 I | Learn game theory and its application |
| Class 2 | Introduction to the game theory and its application II (matching theory) | Learn Matching Theory |
| Class 3 | Introduction to the game theory and its application III social choice theory | Learn social choice theory |
| Class 4 | Introduction to evolutionary game theory and the evolution of cooperation II | learn evolutionary game theory and the evolution of cooperation |
| Class 5 | Introduction to evolutionary game theory and the evolution of cooperation II | learn evolutionary game theory and the evolution of cooperation |
| Class 6 | cultural evolution and innovation | Learn "cultural evolution" study which can be applicable to the innovation study. |
| Class 7 | Group discussion | Students in each group discuss how to apply what they have learned in this class to real situations. |
Out-of-Class Study Time (Preparation and Review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
Not assigned.
Reference books, course materials, etc.
Not assigned.
Assessment criteria and methods
report
group discussion
Attendance is required.
Related courses
- TIM.A510 ： Social Simulation I
- TIM.A511 ： Social Simulation II
Prerequisites (i.e., required knowledge, skills, courses, etc.)
No prerequisite.
Office hours
Contact me by e-mail
Other
This class is the same as Methodology of Mathematical and Computational Analysis II 2020 and 2019. The students who got the credit of Methodology of Mathematical and Computational Analysis II 2020 or 2019 class cannot take this class.
