日本語

Course Code etc
Academic Year 2024
College College of Sport and Wellness
Course Code IN280
Theme・Subtitle データサイエンス
Class Format Face to face (all classes are face-to-face)
Class Format (Supplementary Items)
Campus Lecture
Campus Niiza
Semester Fall semester
DayPeriod・Room Mon.2・N854
Credit 2
Course Number SWN2000
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 〇(履修中止可/ Eligible 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 2023年度以降入学者対象
Text Code IN280

【Course Objectives】

Recent innovation has made it possible to acquire a large amount of data in the field of sports and wellness. These data are widely applied to sports performance analysis aimed at improving athletic performance, and verification of exercise and nutritional guidance aimed at health promotion.
In this lecture, students will learn basic theories and analysis methods regarding how to handle and analyze data, not limited to the field of sport and wellness, in order to derive meaningful insights and trends from data.

【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 real business.

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