日本語フィールド
著者：Tetsuro Kakeshita, Kazuo Ishii, Yoshiharu Ishikawa, Hitoshi Matsubara, Yutaka Matsuo, Tsuyoshi Murata, Miyuki Nakano, Takako Nakatani, Haruhiko Okumura, Naoko Takahashi, Norimitsu Takahashi, Gyo Uchida, Eriko Uematsu, Satoshi Saeki and Hiroshi Kato題名：Development of IPSJ Data Science Curriculum Standard発表情報：Proc.Open Conference on Computers in Education (OCCE 2021 DTEL) ページ: pp. 156-167キーワード：Data Science, Curriculum Development, Statistics, Artificial Intelligence, Computer Science, Data Management, Software Engineering, Data Scientist Certification.概要：抄録：The Information Processing Society of Japan (IPSJ) is working on curriculum standard development for university-level education majoring in data science (DS). In this paper, we shall report strategy and development of the DS curriculum standards. Data science education and the development of data scientists are recognized to be quite important in both social and business contexts. The IPSJ DS curriculum standard is developed considering various related initiatives and has the following unique features. (1) The DS curriculum standard covers a wide range of related fields to ensure international compatibility through mapping to the ACM Data Science curriculum and the European EDISON Data Science Framework. (2) It collaborates with the IPSJ Data Scientist certification (under development) by referring to the Data Scientist skill checklist (assistant level) developed by the Data Scientist Society of Japan. (3) It clarifies the knowledge and skills required of students majoring in data science. (4) It assigns a time to each educational content so that the curriculum size becomes approximately 675 class hours (60 credits in the Japanese credit system). (5) It collaborates with the Model Curriculum for Mathematics, Data Science and AI Education (literacy level) developed by the Japan Inter-University Consortium for Mathematics & Data Science, supported by the Japanese government.英語フィールド
Author：Tetsuro Kakeshita, Kazuo Ishii, Yoshiharu Ishikawa, Hitoshi Matsubara, Yutaka Matsuo, Tsuyoshi Murata, Miyuki Nakano, Takako Nakatani, Haruhiko Okumura, Naoko Takahashi, Norimitsu Takahashi, Gyo Uchida, Eriko Uematsu, Satoshi Saeki and Hiroshi KatoTitle：Development of IPSJ Data Science Curriculum StandardAnnouncement information:Proc.Open Conference on Computers in Education (OCCE 2021 DTEL) Page: pp. 156-167Keyword：Data Science, Curriculum Development, Statistics, Artificial Intelligence, Computer Science, Data Management, Software Engineering, Data Scientist Certification.An abstract：The Information Processing Society of Japan (IPSJ) is working on curriculum standard development for university-level education majoring in data science (DS). In this paper, we shall report strategy and development of the DS curriculum standards. Data science education and the development of data scientists are recognized to be quite important in both social and business contexts. The IPSJ DS curriculum standard is developed considering various related initiatives and has the following unique features. (1) The DS curriculum standard covers a wide range of related fields to ensure international compatibility through mapping to the ACM Data Science curriculum and the European EDISON Data Science Framework. (2) It collaborates with the IPSJ Data Scientist certification (under development) by referring to the Data Scientist skill checklist (assistant level) developed by the Data Scientist Society of Japan. (3) It clarifies the knowledge and skills required of students majoring in data science. (4) It assigns a time to each educational content so that the curriculum size becomes approximately 675 class hours (60 credits in the Japanese credit system). (5) It collaborates with the Model Curriculum for Mathematics, Data Science and AI Education (literacy level) developed by the Japan Inter-University Consortium for Mathematics & Data Science, supported by the Japanese government.