Course Syllabus

Course Information：

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

Fall Semester
Year 2026 363674 Applied Probability and Statistics 1 3.0 3 ★ Chen,Yen-Chang GCDPE 0 0 土木館308

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	363674	Applied Probability and Statistics	1	3.0	3	★	Chen,Yen-Chang	GCDPE	0	0	土木館308

Course Plan：

Instructor Chen,Yen-Chang　Office Hours

Email yenchen@ntut.edu.tw

Last Updated 2026-06-09 10:14:07

Course Objective The objective of the course is to familiarize the students with statistical topics that frequently arise in engineering application. Realistic applications of moderate complexity will be considered. Students will be expected to become familiar with at least one major statistical software (e.g., Minitab).

Course Schedule 1. Introduction. 2. Collection and analysis of information. 3. Probability models. 4. Continuous probability models. 5. Applications of sampling distribution theory. 6. Statistical quality control. 7. Tests of statistical hypotheses. 8. Experiments with one factor. 9. Experiments with two factors. 10. Regression Analysis

Evaluation and grading policy Report: 35% Final: 45% Homework: 20%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Applied Statistics for Engineers & Physical Scientists 3/E, Ledolter and Hoogg, 2010, Pearson Education. Introductory Statistics 9/E, Weiss, N.A., 2012, Pearson Education.

The access to curricular consultation 課堂及諮詢時間提供相關諮詢

Expanding teaching and resources ● 無 (None)

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG6：潔淨水與衛生（Clean Water and Sanitation）

Does the course incorporate AI ● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）

Note
　

Instructor	Chen,Yen-Chang　Office Hours
Email	yenchen@ntut.edu.tw
Last Updated	2026-06-09 10:14:07
Course Objective	The objective of the course is to familiarize the students with statistical topics that frequently arise in engineering application. Realistic applications of moderate complexity will be considered. Students will be expected to become familiar with at least one major statistical software (e.g., Minitab).
Course Schedule	1. Introduction. 2. Collection and analysis of information. 3. Probability models. 4. Continuous probability models. 5. Applications of sampling distribution theory. 6. Statistical quality control. 7. Tests of statistical hypotheses. 8. Experiments with one factor. 9. Experiments with two factors. 10. Regression Analysis
Evaluation and grading policy	Report: 35% Final: 45% Homework: 20%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Applied Statistics for Engineers & Physical Scientists 3/E, Ledolter and Hoogg, 2010, Pearson Education. Introductory Statistics 9/E, Weiss, N.A., 2012, Pearson Education.
The access to curricular consultation	課堂及諮詢時間提供相關諮詢
Expanding teaching and resources	● 無 (None)
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG6：潔淨水與衛生（Clean Water and Sanitation）
Does the course incorporate AI	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note