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理工系学生用の英文で学ぶ最新データサイエンス教材
https://it-hiroshima.repo.nii.ac.jp/records/2000060
https://it-hiroshima.repo.nii.ac.jp/records/20000603d34897f-229e-492f-a641-70f507acaa6e
名前 / ファイル | ライセンス | アクション |
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||||
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公開日 | 2025-03-21 | |||||||
タイトル | ||||||||
タイトル | 理工系学生用の英文で学ぶ最新データサイエンス教材 | |||||||
言語 | ja | |||||||
タイトル | ||||||||
タイトル | Materials to Learn Cutting-Edge Data Science in English for Students Science in Science and Engineering | |||||||
言語 | en | |||||||
言語 | ||||||||
言語 | eng | |||||||
キーワード | ||||||||
主題Scheme | Other | |||||||
資源タイプ | ||||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||
資源タイプ | departmental bulletin paper | |||||||
著者 |
釜江,常好,鈴木,貴
× 釜江,常好,鈴木,貴
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抄録 | ||||||||
内容記述タイプ | Abstract | |||||||
内容記述 | To prepare for diverse career paths, students have to learn diverse fields of science and engineering. Education a student receives in a Japanese university, however, is limited to what the faculty and the department he/she belongs to offer. The number of instructors belonging to one faculty or one department is quite limited in most Japanese universities, when compared to those in the US or in Europe. This shortcoming has been preventing students to learn and be trained in emerging new fields in the neighboring fields. Among leading universities there is another implicit pressure among students studying mathematics a nd physics t hat t he “ best” m athematics a nd physics t ake t he “pure a nd simple” forms. This way of thinking has been formed in the earlier half of the 20th century when several revolutionary ideas have been proposed. For example, the 4-color theorem in mathematics was proven by the team who had better access to multiple IBM-370, the super-computers in mid 1970s than competitors1 ). The dream proof of Fermer’s theorem took hundreds of pages(. 1: Robin Wilson: Illinois Journal of Mathematics Vol 60(2016), pp 149-178) In particle physics the super-string theory has been attracting many talented scientists worldwide. No body yet sees the ultimate theory. Meanwhile, fields including astrophysics, medicine, molecular and biological sciences have become to rely heavily on data analyses. The data come either from observations, measurements, or simulations. Many developments in data science came out of physics: the famous Fermi-Pasta-Ulam note led to the theory of solitons, the KAM theory and machine learning algorithms. Feynman-Kac formalism is based on the path-integral in quantum mechanics. It finds hundreds application in the fintech field. Sadly, many physicists and mathematicians do not know about these developments. The teaching material have been prepared to catch attention of students and instructors in the fields of science. |
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言語 | en | |||||||
bibliographic_information |
巻 24, p. 65-74, 発行日 2025-03-14 |
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出版者 | ||||||||
出版者 | 広島工業大学 | |||||||
item_10002_source_id_9 | ||||||||
収録物識別子タイプ | ISSN | |||||||
収録物識別子 | 13469983 | |||||||
item_10002_source_id_11 | ||||||||
収録物識別子タイプ | NCID | |||||||
収録物識別子 | AA11599121 | |||||||
フォーマット | ||||||||
内容記述タイプ | Other | |||||||
内容記述 | application/pdf | |||||||
出版タイプ | ||||||||
出版タイプ | VoR | |||||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |