Teaching
In the 2025 academic year, I served as an instructor for “Introduction to Mathematics, Data Science and AI” (数理・データサイエンス・AI入門), a university-wide general education course (Innovation Education subject) at Yokohama National University. The course is a core component of the YOKOHAMA MDA Program (a government-accredited Mathematics, Data Science and AI education program at the literacy level) and is open to students across all faculties.
| Item | Details |
| Role | Instructor (co-taught with Shinichi Shirakawa and Kazumi Matsui) |
| Institution | Yokohama National University — University-wide General Education |
| Audience | All faculties, years 1–4 |
| Credits | 2 credits (Fall semester, in-person lecture) |
| Course code | GR.1811 |
| Textbook | Data Science as a Liberal Art (eds. Genshiro Kitagawa & Akimichi Takemura, Kodansha, 2021) |
Objectives
The course helps students acquire the foundational literacy needed to make use of mathematics, data science, and AI in everyday life and work. It emphasizes understanding the data around us, reading and visualising data, and leanrning the fundamentals of optimisation and machine learning such as lenear regression, convolution network, and transformer.
Internship
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Activities
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