2019 Seminar on Intelligent Systems Science VII

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Academic unit or major
Computational Intelligence and Systems Science
Instructor(s)
Academic Supervisor 
Course component(s)
Exercise
Day/Period(Room No.)
Seminar ()  
Group
-
Course number
ZIJ.Z693
Credits
2
Academic year
2019
Offered quarter
1-2Q
Syllabus updated
2019/4/5
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

Intercultural skills Communication skills Specialist skills Critical thinking skills Practical and/or problem-solving skills
-

Class flow

It depends to the research group􏰑 In general􏰒 a presenter presents his􏰋her 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

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