2020 Faculty Courses School of Environment and Society Department of Technology and Innovation Management Graduate major in Technology and Innovation Management
Methodology of Mathematical and Computational Analysis II
- Academic unit or major
- Graduate major in Technology and Innovation Management
- Instructor(s)
- Mayuko Nakamaru / Yuya Kajikawa
- Class Format
- Lecture/Exercise (Zoom)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 9-10 Tue (CIC812)
- Class
- -
- Course Code
- TIM.A406
- Number of credits
- 0.50.50
- Course offered
- 2020
- Offered quarter
- 2Q
- Syllabus updated
- Jul 10, 2025
- Language
- Japanese
Syllabus
Course overview and goals
This course teaches how modeling and simulation help 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 and simulations are good tools to grasp the essence of individuals and organizations. In this course, the students will learn and exercise the methodology of simulations and 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 model to describe it qualitatively and quantitatively.
2) how to analyze models.
3) how to interprete the results properly by comparison with practice.
Keywords
game theory, evolutionary game theory, natural selection, application to innovation management
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
Give a lecture in every class. Exercises are assigned to students, if necessary. In the final day, groups are assign to students and group members discuss together the application of what they have learned to innovation management.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Introduction to this class Introduction to game theory:Nash equilibrium and its application | learn game theory and evolutionary game theory which can help understand our society, and consider the application of them to innovation management |
| Class 2 | Introduction to game theory:Nash equilibrium and its application | learn the application of game theory to reality |
| Class 3 | Introduction to game theory: Matching theory | learn the application of game theory to reality, taking matching theory as an example. |
| Class 4 | Introduction to game theory: social choice theory | learn the application of game theory to reality, taking social choice theory as an example. |
| Class 5 | Introduction to evolutionary game theory | learn the basic evolutionary game theory |
| Class 6 | Cultural Evolution | learn Cultural evolution and consider how cultural evolution can be adapted into technology's evolution and diffusion. |
| Class 7 | Theory in Natural selection and Ecology can be adapted into business and management in human society | learn how theory in natural selection and ecology can be adapted into business and management |
| Class 8 | Group discussion | based on what the students have learned, the students discuss the application to innovation management |
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.A511 ： Social Simulation II
- TIM.C401 ： Ecosystem Management I
- TIM.C402 ： Ecosystem Management II
- TIM.D401 ： Exercises in Research Literacy I
- TIM.D401 ： Exercises in Research Literacy I
- TSE.C318 ： Introduction to Engineering Design and Management of Technology
Prerequisites
No prerequisite.