Trial of Data Science Education on Tensor Data Processing Using MacMahon's Cubes

• 山本 直樹

  熊本高等専門学校

• 石田 明男

  熊本高等専門学校

• 大石 信弘

  熊本高等専門学校

• 村上 純

  熊本高等専門学校

Bibliographic Information

Other Title

• マクマホン立方体を用いたテンソルデータ処理に関するデータサイエンス教育の試み

Abstract

We developed a new learning material that can be used in a subject of data science offered in our advanced courses. This material is for students to learn tensor data processing related to HOSVD and reflects important points to learn it. A feature of this material is that MacMahon’s cubes are used to make the students interested in the data processing. After using this material for self-study in the lecture, we confirmed degree of understanding of the matrix unfolding, the folding, and the n-mode product. As a result, it was found that about 74% of students who took the subject understood all three processes. From this, it can be considered that this material is effective for data science education of the tensor data processing.

Journal

• Research Reports of National Institute of Technology (KOSEN), Kumamoto College

  Research Reports of National Institute of Technology (KOSEN), Kumamoto College 12 (0), 45-48, 2021

  National Institute of Technology (KOSEN), Kumamoto College

Keywords

• Tensor data processing
• HOSVD
• Data science education
• MacMahon's cubes
• Development of learning materials

Details

• CRID: 1390287142242384256
• NII Article ID: 130007987103
• DOI: 10.50835/kumako.12.0_45
• ISSN: 21898553
• ISSN: 18846734
• Text Lang: ja
• Data Source:
  • JaLC
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed