2025 (Current Year) Faculty Courses School of Environment and Society Department of Technology and Innovation Management Graduate major in Technology and Innovation Management
Introduction to Models and Experiments in Social Science
- Academic unit or major
- Graduate major in Technology and Innovation Management
- Instructor(s)
- Mayuko Nakamaru
- Class Format
- Lecture/Exercise
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - Class
- -
- Course Code
- TIM.A414
- Number of credits
- 0.50.50
- Course offered
- 2025
- Offered quarter
- 3Q
- Syllabus updated
- Mar 19, 2025
- Language
- Japanese
Syllabus
Course overview and goals
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.
Course description and aims
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
- 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/Objectives
Course schedule | Objectives | |
---|---|---|
Class 1 | ゲーム理論入門 | Learn the introduction to game theory |
Class 2 | Introduction to the game theory and its application II (matching theory) | Learn Matching Theory |
Class 3 | Introduction to Behavioral Economics and Decision Theory | Learn Behavioral Economics and Decision Theory |
Class 4 | Introduction to cultural evolution | learn innovation from the viewpoint of cultural evolution |
Class 5 | The evolution of cooperation | learn the evolution of cooperation |
Class 6 | learn "Management" from the viewpoint of evolution and ecology | Learn "management" from the viewpoint of evolution and ecology |
Class 7 | Group discussion | Students in each group discuss how to apply what they have learned in this class to real situations. |
Study advice (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 course material.
Textbook(s)
Not assigned.
Reference books, course materials, etc.
Not assigned.
Evaluation methods and criteria
report
group discussion
Attendance is required.
Related courses
- TIM.A510 : Social Simulation I
- TIM.A511 : Social Simulation II
Prerequisites
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.