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- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Technology and Innovation Management
- Instructor(s)
- Nakamaru Mayuko
- Class Format
- Lecture / Exercise
- Media-enhanced courses
- Day/Period(Room No.)
- Sat1-2(CIC812)
- Group
- -
- Course number
- TIM.A510
- Credits
- 1
- Academic year
- 2018
- Offered quarter
- 1Q
- Syllabus updated
- 2018/4/5
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
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.
Keywords
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 | Numerical analysis in Matlab | learn how to analyze differential and difference equations in Matlab |
| Class 3 | Basic differential equation and its execises | learn the basic differential equation and exercise it |
| Class 4 | Application of differential equation to the evolutionary game theory | learn evolutionary game theory based on differential equation |
| Class 5 | Application of differential equation to the evolutionary game theory | learn evolutionary game theory based on differential equation |
| Class 6 | Basic difference equation and its execises | learn the basic difference equation and then exercise it. |
| Class 7 | Basic difference equation and its execises | learn cultural evolution model based on difference equation |
| Class 8 | group discussion | Discuss the models the students learned here from the viewpoint of Management of Technology |
Textbook(s)
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.
