日本語

Course Code etc
Academic Year 2024
College Graduate School of Sport and Wellness
Course Code MN228
Theme・Subtitle データサイエンス、スポーツデータ分析
Class Format Online (partially face-to-face)
Class Format (Supplementary Items) 2〜3回を必ず対面授業で行います。
Campus Lecture
Campus Niiza
Semester Fall semester
DayPeriod・Room Tue.5・N325
Credit 2
Course Number SWG5110
Language Japanese
Class Registration Method Course Code Registration
Grade (Year) Required 配当年次は開講学部のR Guideに掲載している科目表で確認してください。
prerequisite regulations
Acceptance of Other Colleges 履修登録システムの『他学部・他研究科履修不許可科目一覧』で確認してください。
course cancellation -(履修中止制度なし/ No system for cancellation)
Online Classes Subject to 60-Credit Upper Limit
Relationship with Degree Policy 各授業科目は、学部・研究科の定める学位授与方針(DP)や教育課程編成の方針(CP)に基づき、カリキュラム上に配置されています。詳細はカリキュラム・マップで確認することができます。
Notes 前期課程学生対象
Text Code MN228

【Course Objectives】

This course covers major problems in data science as well as applied use cases in sports science. Students will learn the basic problem-solving methods using data science approaches. Students will also cultivate problem solving skills by applying the methods to their topic of interest in sports science.

【Course Contents】

This course will provide you knowledge regarding data science-based problem-solving skills. During this semester, you will learn (1) major data science problems, (2) and data science methods to solve such problems, (3) applied use cases in sports science. In addition, you will choose one topic in sports science that can apply data science approaches, present your ideas to the entire class, and discuss your ideas with classmates.

※Please refer to Japanese Page for details including evaluations, textbooks and others.