2024 Faculty Courses School of Environment and Society Department of Technology and Innovation Management Graduate major in Technology and Innovation Management
Social Simulation II
- Academic unit or major
- Graduate major in Technology and Innovation Management
- Instructor(s)
- Mayuko Nakamaru
- Class Format
- Lecture/Exercise (HyFlex)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 5-6 Sat
- Class
- -
- Course Code
- TIM.A511
- Number of credits
- 0.50.50
- Course offered
- 2024
- Offered quarter
- 2Q
- Syllabus updated
- Mar 14, 2025
- Language
- Japanese
Syllabus
Course overview and goals
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.
Course description and aims
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.
Keywords
differential equation, difference equation, numerical analysis, evolutionary game theory
Competencies
- 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/Objectives
| Course schedule | Objectives | |
|---|---|---|
| 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 | Students present their assignment. |
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 textbooks and other course material.
Textbook(s)
Not assigned.
Reference books, course materials, etc.
Not assigned.
Evaluation methods and criteria
Report (100%)
Related courses
- TIM.A510 ： Social Simulation I
- TIM.A414 ： Introduction to Models and Experiments in Social Science
- TIM.C401 ： Ecosystem Management I
- TIM.C402 ： Ecosystem Management II
- TIM.D401 ： Exercises in Research Literacy I
- TIM.D402 ： Exercises in Research Literacy II
Prerequisites
Take Social Simulation I