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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.