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 .