2020 Social Simulation I

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Academic unit or major
Graduate major in Technology and Innovation Management
Nakamaru Mayuko 
Course component(s)
Lecture / Exercise    (ZOOM)
Day/Period(Room No.)
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
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Course description and aims

This course teaches how mathematical modeling helps understand innovation management. The aim of this course is to acquire analytical skills which are required to learn and to conduct research on technology management.
Modeling is a good tool to grasp the essence of individuals and organizations. In this course, the students will learn and exercise the methodology of mathematical modeling.

Student learning outcomes

In this course, the students will learn:
1) how to grasp the cause-and-effect relationship in innovation management and make a mathematical model to describe it qualitatively and quantitatively.
2) how to analyze mathematical models.
3) how to interprete the results properly by comparison with practice.


differential equation, difference equation, numerical analysis, evolutionary game theory

Competencies that will be developed

Specialist skills Intercultural skills Communication skills Critical thinking skills Practical and/or problem-solving skills

Class flow

Give a lecture and then exercises are assigned to students.

Course schedule/Required learning

  Course schedule Required learning
Class 1 Introduction: what social simulation is? learn what social simulation is
Class 2 Two species competition model and prey-predator model learn the basic model using the differential equations
Class 3 Application of differential equation to the disease transmission model learn the disease transmission model based on the differential equation
Class 4 Application of differential equation to the evolutionary game theory learn evolutionary game theory based on differential equation
Class 5 Basic difference equation to culture transmission model learn the basic difference equation and then exercise it. Then, learn cultural evolution model based on difference equation
Class 6 group work Discuss the models the students learned here from the viewpoint of Management of Technology and make a new model
Class 7 group presentation Each group presents its own original model made by each group

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.


Not assigned.

Reference books, course materials, etc.

Not assigned.

Assessment criteria and methods

Report (100%)

Related courses

  • TIM.A405 : Methodology of Mathmatical and Computational Analysis I
  • TIM.A406 : Methodology of Mathmatical and Computational Analysis II
  • TIM.C401 : Ecosystem Management I
  • TIM.C402 : Ecosystem Management II
  • TIM.D401 : Exercises in Research Literacy I
  • TIM.D402 : Exercises in Research Literacy II
  • TIM.A511 : Social Simulation II

Prerequisites (i.e., required knowledge, skills, courses, etc.)

No prerequisite.

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