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- > Methodology of Mathematical and Computational Analysis II
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School of Engineering
- Undergraduate major in Mechanical Engineering
- Undergraduate major in Systems and Control Engineering
- Undergraduate major in Electrical and Electronic Engineering
- Undergraduate major in Information and Communications Engineering
- Undergraduate major in Industrial Engineering and Economics
- Common courses
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
- 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 Kajikawa Yuya
- Class Format
- Lecture / Exercise
- Media-enhanced courses
- Day/Period(Room No.)
- Mon9-10(田町CIC812)
- Group
- -
- Course number
- TIM.A406
- Credits
- 1
- Academic year
- 2018
- Offered quarter
- 3Q
- Syllabus updated
- 2018/12/4
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
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.
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 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 that will be developed
| ✔ 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/Required learning
| Course schedule | Required learning | |
|---|---|---|
| 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 | Natural selection and human society | learn how natural selection can explain our human society |
| Class 7 | Natural selection and human society | learn how natural selection can explain our human society |
| Class 8 | Group discussion | based on what the students have learned, the students discuss the application to innovation management |
Textbook(s)
Not assigned.
Reference books, course materials, etc.
Not assigned.
Assessment criteria and methods
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 (i.e., required knowledge, skills, courses, etc.)
No prerequisite.
