2022 Faculty Courses School of Environment and Society Department of Technology and Innovation Management Graduate major in Technology and Innovation Management
Knowledge Engineering for Innovation I
- Academic unit or major
- Graduate major in Technology and Innovation Management
- Instructor(s)
- Yuya Kajikawa
- Class Format
- Lecture/Exercise (Livestream)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 11-12 Tue
- Class
- -
- Course Code
- TIM.A410
- Number of credits
- 0.50.50
- Course offered
- 2022
- Offered quarter
- 1Q
- Syllabus updated
- Jul 10, 2025
- Language
- Japanese
Syllabus
Course overview and goals
Knowing what is losing its value as data and information are electronically accumulating and accessible. Comprehending essentials in diverse information and creating knowledge is currently fundamentals for value and differentiation. This course aims to understand methodology of thinking and acquire pragmatic skills including defining concepts, analyzing causality, and system thinking with exercises.
In this course, students systematically learn meta-knowledge and framework which does not depend on any specific disciplines by thinking essence of thinking, what is thinking, what are pitfalls in it. They are also trained to acquire pragmatic skills with exercise on cases in innovation and technology management.
Course description and aims
By this course, students will understand:
1) What concept is concept. How to define.
2) What causality is. What criteria should be met.
3) What knowledge stracture is. How to represent knowledge for business.
4) What system thinking is. How to apply it.
Keywords
Concept, Framework, Causality, System thinking, System design, Structuring of knowledge
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
At the beginning of each class, we have group presentation or explanation of reports in the last class. During the class, concepts, theory, methodology are illustrated. By the end of each class, problem and task for the next class are presented.
Course schedule/Objectives
| Course schedule | Objectives | |
|---|---|---|
| Class 1 | Concept and definition | Understand what knowledge is and how to define concepts |
| Class 2 | Knowledge structure and framework (1) | Learn knowledge structure and framework. |
| Class 3 | Knowledge structure and framework (2) | Understand methodology to represent business knowledge as business model |
| Class 4 | Group presentation (1) | Present the results of group work about business model |
| Class 5 | Group presentation (2) | Present the results of group work about business model |
| Class 6 | Causal relathionship | Undesratnd causality and its criteria |
| Class 7 | Logic and inference | Learn logic, inference, and pitfalls |
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
Group presentation (20%). Report (80%)
Related courses
- TIM.B401 ： Introduction to Technology and Innovation Management
Prerequisites
No prerequisite