Human-centered AI Curriculum

The "Human-centered AI curriculum" is a non-degree program in the "computer science degree program."

Overview

The aim of "Human-centered AI curriculum" in Masters/Doctoral course is to foster technical experts who have abilities to develop and apply AI technologies for solving real issues in our society. In addition to the fundamental knowledge and skills for AI, students are also encouraged to study domain knowledge and ethics toward using AI for our society.

Enrollment

Please make your registration to the curriculum at the time of admission. An email informing the detailed procedure will be sent to all students.

Requirments

Master course

You will be certified if you earn sufficient credits according to the guideline below by the end of your program.

  • 1 credit or more from Course Group 1
  • 6 credits or more from Course Group 2
  • 4 credits or more from Course Group 3
  • 11 credits or more in total

Doctoral course

You will be certified if you earn the credit from "AI applied research internship" by the end of your program.

Courses

Course group 1 (Mandatory elective)

Earn 1 or more credits from the courses below.

Degree program Course Credit Note
CS Human-centered AI A 1 English
CS Human-centered AI B 1 English

The capacity of the courses is limited. Registration may not be approved due to this limitation and the priority for HCAI curriculum students.

Course group 2 (Elective: CS)

Earn 6 or more credits from the courses below.

Degree program Course Credit Note
CS Experiment Design in Computer Sciences 2 English
CS Numerical simulation 2 English
CS Basic computational biology 2 English
CS Data engineering I 2 English
CS Topics in Computer Ethics 2 English
CS Advanced Course in Computational Algorithms 2 English
CS Principles of Software Engineering 2 English
CS Adaptive Media Processing 1 English
CS Data analysis 2 Japanese
CS Topics in computer science I 1 English
CS Computational Science Literacy 1 English
CS High Performance Parallel Computing Technology for Computational Sciences 1 English

Course group 3 (Elective: other than CS)

Earn 4 or more credits by taking courses in science/engineering or other application domains other than CS. The following is a list of such courses but not limited to them.

The full course list other than CS can be found in (Japanese) https://www.tsukuba.ac.jp/education/g-courses-g-tsukuba-tokyo/ The courses offered by English can be searched in KDB by checking the box "Conducted in English".

Degree program Course Credit Note
PPS Social simulation 2
PPS Spatial information science 2
PPS Wellness service science 1
SE Traffic service design 1
RR Seminar in soft computing 2
RR Theoretical environmental analysis 2
IIT Cybernics 2
IIT Social robotics 2
EME Energy system 2
EME Space development engineering 1
LSI Introduction to Medicine 1
LSI Introduction to Bioinformatics 1
MS Genome Medicine 2
MS Human Infection and Immunology 2
MS Oncology 2
ES Remote Sensing 1
ES Climate System Study I 1

PPS: Policy and planning sciences / SE: Service engineering / RR: Risk resilience / IIT: Intelligent interaction technologies / EME: Engineering mechanics and energy / LSI: Life Science Innovation (Bioinformatics) / ES: Environmental Sciences / MS: Medical Sciences

Questions/contact

If you have any questions/inquiry regarding the human-centered AI curriculum, send an email to the promotion office for international program: hcaip [AT] cs.tsukuba.ac.jp .