Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Fall Semester
Year 2025 348380 Statistics (I) Practice 1 1.0 2 ▲ Hendri Sutrisno 4IEM2B 36 0 計中電腦教室

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2025	348380	Statistics (I) Practice	1	1.0	2	▲	Hendri Sutrisno	4IEM2B	36	0	計中電腦教室

Course Plan：

Instructor Hendri Sutrisno　Office Hours

Email hendri@mail.ntut.edu.tw

Last Updated 2025-05-25 14:49:21

Course Objective 本課程之目的在訓練學生，使學生熟悉經常使用之統計方法與理論，能利用已知之資料整理、分析未知之現象，打好修習其他相關學科之基礎。課程內容包括：機率理論、推定、假設檢定、迴歸分析、變異數分析等。 The purpose of this course is to train student and to provide a background in the theory and methodology of general statistical issues. Topics include probability theory, inference, hypothesis testing, regression analysis and variance analysis.

Course Schedule W1: Course Orientation & Computational Environment Setup W2-W4: Foundations of Probability W5-W8: Discrete Random Variables and Distributions W9-W13: Continuous Random Variables and Distributions W14-17: Joint Distributions and Random Variable Transformations W18: Final Review

Evaluation and grading policy 60% - Weekly activity submissions 30% - Projects 10% - In-class participation

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Rigdon, S. E., Fricker, Jr, R. D., & Montgomery, D. C. (2024). Introduction to Probability and Statistics for Data Science: with R. Cambridge: Cambridge University Press.

The access to curricular consultation email and office hour

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

Does the course incorporate AI AI1：使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process）
AI2：鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
　

Instructor	Hendri Sutrisno　Office Hours
Email	hendri@mail.ntut.edu.tw
Last Updated	2025-05-25 14:49:21
Course Objective	本課程之目的在訓練學生，使學生熟悉經常使用之統計方法與理論，能利用已知之資料整理、分析未知之現象，打好修習其他相關學科之基礎。課程內容包括：機率理論、推定、假設檢定、迴歸分析、變異數分析等。 The purpose of this course is to train student and to provide a background in the theory and methodology of general statistical issues. Topics include probability theory, inference, hypothesis testing, regression analysis and variance analysis.
Course Schedule	W1: Course Orientation & Computational Environment Setup W2-W4: Foundations of Probability W5-W8: Discrete Random Variables and Distributions W9-W13: Continuous Random Variables and Distributions W14-17: Joint Distributions and Random Variable Transformations W18: Final Review
Evaluation and grading policy	60% - Weekly activity submissions 30% - Projects 10% - In-class participation
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Rigdon, S. E., Fricker, Jr, R. D., & Montgomery, D. C. (2024). Introduction to Probability and Statistics for Data Science: with R. Cambridge: Cambridge University Press.
The access to curricular consultation	email and office hour
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG8：尊嚴就業與經濟發展（Decent Work and Economic Growth） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
Does the course incorporate AI	AI1：使用生成式AI作為教學過程的輔助工具（Use generative AI tools as an aid to the teaching process） AI2：鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note