Data Science and AI Teaching Material Development at the University of Yamanashi

SUZUKI Kazuyoshi, HANAWA Masanori, MORISAWA Masayuki, HINAGA Tatsuhiko, SUZUKI Yutaka, SATO Yuka

doi:10.18950/jade.2022.07.01.08

<p>By the fiscal year 2025, the Japanese government is mandating that all graduates of universities, colleges, junior colleges, and the colleges of technology nationwide, regardless of their undergraduate field of study, acquire basic data science knowledge. Because data science is a comparatively new field of study, new teaching material needs to be developed for the whole country. This paper presents the progress in developing teaching material for mathematics, data science, and AI education at the University of Yamanashi. The University has drawn up curriculum references for these subjects that outline the knowledge and skills students need to acquire. Furthermore, an introductory-level data science class is now mandatory for all undergraduate students enrolled on and after the fiscal year 2020. For the new data science classes, teaching materials and syllabi have been developed. The materials comprise two types of videos: one is for lectures and the other is for computer exercise demonstrations. Both are available for use as needed depending on the proficiency level of students and the purpose of the class. These videos can also be used for remedial education for supplementary tuition regardless of a student’s major. Additionally, this paper discusses potential future developments for data science education, such as providing the newly developed materials to educational institutions outside the University of Yamanashi.</p>

Data Science and AI Teaching Material Development at the University of Yamanashi

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