Course Overview

This internship course is for whom join a research group in universities, research institutes, or companies developing advanced technologies related to AI applications, learn various application examples of information technologies, and acquire the next generation technologies, research capabilities, and people skills.

Learning Achievement

Understand case studies of information technologies related to AI applications.
Acquire next-generation technologies, research capabilities, and people skills.

Competence

General competence
1. Knowledge creation competence
2. Management competence
3. Communication competence
4. Leadership competence

Special competence
1. Research ability
2. Specialized knowledge
3. Ethical view

Course prerequisites

Those who have earned the credit from "Internship in Cross-disciplinary Laboratories I" are not allowed to apply this course.

Grading Philosophy

Grades are assessed by the report about the internship.

Course schedule

Conduct research and development in a research group in Universities, research institutes, or companies developing advanced technologies related to AI applications.
The research theme and the internship period are decided through consultation with the host organization.
Write the report after the internship period.
Make a presentation at the internship achievement workshop.

Course type

Training/Lab Experiments/Practical Application

Online Course Requirement

Instructor

Yamagiwa Shinichi,Machida Fumio,Kanamori Yoshihiro

Other information

Site for Inquiry

Link to the syllabus provided by the university