授業の目的 【英語】
Goals of the Course [ENG] | | | 【Standardized across all programs】 The goal of this course is to acquire basic knowledge and general-purpose analytical skills in order to acquire data analysis capabilities that will serves the foundation for creating new value in various situations in the society. For this goal, students will learn computer literacy, data description and visualization, and basic concepts of probability and statistics. If necessary, explanations using high school level mathematics will be given, but priority will be given to students' intuitive understanding of the outline. |
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授業の達成目標 【英語】
Objectives of the Course [ENG] | | | Students will learn the most important basic knowledge for acquiring data analysis skills. |
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授業の内容や構成
Course Content or Plan | | Week 1 – Introduction to data science: 1. Guidance 2. The role of data science
Week 2 – Introduction to data science: Data acquisition and management
Week 3 – Computer literacy: 1. Information ethics and related regulations 2. Information security 3. Regulations regarding personal data 4. Ethical data collection and utilization 5. Data anonymization 6. Various biases regarding data science
Week 4 – Data description and visualization; Mean, variance / standard deviation, correlation coefficient: 1. Types of data 2. Basic statistics 3. Statistical graphs 4. Probability distribution graphs
Week 5 – Data description and visualization; Mean, variance / standard deviation, correlation coefficient: Correlation (correlation and causality, covariance, etc.)
Week 6 – Random variables and probability distributions: 1. Probability 2. Probability distribution, random variables
Week 7 – Population and sample; Statistical inference and testing: 1. Sampling 2. Sampling distribution 3. Point estimation, interval estimation
Week 8 – Statistical inference and testing: The concept of hypothesis testing |
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履修条件・関連する科目
Course Prerequisites and Related Courses | | | No prerequisites are required. |
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成績評価の方法と基準
Course Evaluation Method and Criteria | | Each lecture's content will be evaluated based on the submission status and achievement of the corresponding mini-test. The submission status and score of the mini-test will be evaluated comprehensively, and a score of 60 or higher out of 100 will be required to pass.
No request for withdrawal is necessary when dropping this course. If the number of submissions for the mini-tests is three or fewer, you will receive a “W” grade. |
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教科書
Textbook | | |
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参考書
Reference Book | | | Any additional materials will be provided by the instructor. |
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課外学修等
Study Load (Self-directed Learning Outside Course Hours) | | | Students are required to answer a mini-test after the lecture. Students are also required to rewatch the lecture video or conduct their own research on unclear points in the lecture content, and ask questions as necessary. |
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注意事項
Notice for Students | | |
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本授業に関するWebページ
Reference website for this Course | | |
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担当教員からのメッセージ
Message from the Instructor | | |
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実務経験のある教員等による授業科目（大学等における修学の支援に関する法律施行規則に基づくもの）
Courses taught by Instructors with practical experience | | |
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授業開講形態等
Lecture format, etc | | D-2）Remote course （Only on-demand classes）
* Classrooms for face-to-face classes can be found in Timetable B on the ILAS website. |
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