日本語

Course Code etc
Academic Year 2024
College University-wide Liberal Arts Courses (Comprehensive Courses)
Course Code FD403
Theme・Subtitle Data Science, Sports data analysis
Class Format Face to face (all classes are face-to-face)
Class Format (Supplementary Items)
Campus Seminar
Campus Niiza
Semester Spring Semester
DayPeriod・Room Mon.1・N345
Credit 2
Course Number CMP2431
Language English
Class Registration Method Exceptional Lottery Registration(定員:20人/ Capacity:20)
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
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
Text Code FD403

【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.

【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. Students will also learn the basic usage of Python, a programming language, and Tableau, a data visualization tool.

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