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- > Seminar on Intelligent Systems Science V
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- Academic unit or major
- Computational Intelligence and Systems Science
- Instructor(s)
- Academic Supervisor
- Class Format
- Exercise
- Media-enhanced courses
- Day/Period(Room No.)
- Seminar ()
- Group
- -
- Course number
- ZIJ.Z691
- Credits
- 2
- Academic year
- 2020
- Offered quarter
- 1-2Q
- Syllabus updated
- 2020/9/18
- Lecture notes updated
- -
- Language used
- Japanese
- Access Index
-
Course description and aims
The students learn the knowledge of their research field logical thinking and research presentations through the colloquium and presentations in their research group In addition the students learn the way to choose the theme of the thesis to make a research and to summarize the results.
Student learning outcomes
Increase of research skills through lab seminar
Learn research skills for writing Ph.D. thesis
Keywords
Colloquium
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | ✔ Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
Class flow
It depends to the research group In general a presenter presents hisher research or introduces research papers Audience asks questions and gives comments on that and then usually the lab members and supervisor discuss about the research topics
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Presentation of research and introduction of research papers | Depends on supervisor |
Textbook(s)
None
Reference books, course materials, etc.
None
Assessment criteria and methods
Depends on supervisor
Related courses
- None
Prerequisites (i.e., required knowledge, skills, courses, etc.)
None
