Seminar on Intelligent Systems Science IX

Academic unit or major

Computational Intelligence and Systems Science

Instructor(s)

Academic Supervisor

Class Format

Exercise

Media-enhanced courses

-

Day of week/Period
(Classrooms)

Seminar

Class

-

Course Code

ZIJ.Z695

Number of credits

020

Course offered

2023

Offered quarter

1-2Q

Syllabus updated

Jul 8, 2025

Language

Japanese

Syllabus

Course overview and goals

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􏰑.

Course description and aims

Increase of research skills through lab seminar
Learn research skills for writing Ph.D. thesis

Keywords

Colloquium

Competencies

• 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 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/Objectives

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)

None

Reference books, course materials, etc.

None

Evaluation methods and criteria

Depends on supervisor

Related courses

• None

Prerequisites

None