Advanced Topics in Artificial Intelligence F

Academic unit or major

Graduate major in Artificial Intelligence

Instructor(s)

Shigeki Hagihara

Class Format

Lecture

Media-enhanced courses

-

Day of week/Period
(Classrooms)

Class

-

Course Code

ART.T544

Number of credits

200

Course offered

2025

Offered quarter

3-4Q

Syllabus updated

Apr 2, 2025

Language

Japanese

Syllabus

Course overview and goals

In this intensive course, advanced topics in a wide range of informatics such as mathematical information sciences, intelligence sciences, life-sciences
and socio-economic sciences are introduced by visiting lecturers.
The aim of this course is to broaden students' perspective by lectures of advanced topics by active scientists in the front line.

Course description and aims

Students can obtain knowledge about advanced topics in mathematical information sciences, intelligence sciences, life sciences and socio-economic sciences.

Keywords

mathematical information sciences, intelligence sciences, life sciences, socio-economic sciences

Competencies

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

Class flow

Lectures give intensive lectures about selected advanced 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.

Specified by lecturers

Evaluation methods and criteria

Specified by lecturers

Related courses

• None

Prerequisites

None

Other

None