Course Syllabus

Course Information：

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

Spring Semester
Year 2026 355056 Probability 1 3.0 3 ▲ WEI-CHANG, CHEN 4EN2B 49 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	355056	Probability	1	3.0	3	▲	WEI-CHANG, CHEN	4EN2B	49	0

Course Plan：

Instructor WEI-CHANG, CHEN　Office Hours

Email wcchen@ntut.edu.tw

Last Updated 2025-12-14 21:50:21

Course Objective The course aims to provide an introduction to probability which is a useful and fundamental mathematical tool for EE students. The course contains the following topics: 1. Experiments, Models, and Probabilities 2. Discrete Random Variables 3. Continuous Random Variables 4. Pairs of Random Variables 5. Random Vectors 6. Sums of Random Variables

Course Schedule Week 01. Experiments, Models, and Probabilities, Compensatory holiday for Peace Memorial Day Week 02. Experiments, Models, and Probabilities Week 03. Experiments, Models, and Probabilities Week 04. Discrete Random Variables Week 05. Discrete Random Variables Week 06. Discrete Random Variables, Compensatory holiday for Children's Day Week 07. Discrete Random Variables Week 08. Continuous Random Variables Week 09. Continuous Random Variables, Midterm Exam Week 10. Continuous Random Variables, Labor Day Week 11. Continuous Random Variables Week 12. Pairs of Random Variables Week 13. Pairs of Random Variables Week 14. Pairs of Random Variables Week 15. Pairs of Random Variables Week 16. Random Vectors Week 17. Sums of Random Variables, Dragon Boat Festival Week 18. Sums of Random Variables, Final Exam The schedule may be adjusted if necessary.

Evaluation and grading policy Matlab Assignment 30% Midterm Exam 35% Final Exam 35%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Roy D. Yates and David J. Goodman, Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, 2nd Edition, Wiley, 2004.

The access to curricular consultation 1. 本課程以北科i學園plus做為課程網頁，並設Line群方便同學聯繫與討論，Line群連結將於第一堂課前公告。
2. 如有加退選或課程問題請寄email給老師(wcchen@mail.ntut.edu.tw)

The course corresponds to the SDGs SDG4：優質教育（Quality Education）

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
1. 可能因不可抗力之因素而調整授課方式、進度與評量方式。
2. 若同學因故無法到校時，可使用Google Meet視訊會議室上課，連結將於第一堂課前公告。

Instructor	WEI-CHANG, CHEN　Office Hours
Email	wcchen@ntut.edu.tw
Last Updated	2025-12-14 21:50:21
Course Objective	The course aims to provide an introduction to probability which is a useful and fundamental mathematical tool for EE students. The course contains the following topics: 1. Experiments, Models, and Probabilities 2. Discrete Random Variables 3. Continuous Random Variables 4. Pairs of Random Variables 5. Random Vectors 6. Sums of Random Variables
Course Schedule	Week 01. Experiments, Models, and Probabilities, Compensatory holiday for Peace Memorial Day Week 02. Experiments, Models, and Probabilities Week 03. Experiments, Models, and Probabilities Week 04. Discrete Random Variables Week 05. Discrete Random Variables Week 06. Discrete Random Variables, Compensatory holiday for Children's Day Week 07. Discrete Random Variables Week 08. Continuous Random Variables Week 09. Continuous Random Variables, Midterm Exam Week 10. Continuous Random Variables, Labor Day Week 11. Continuous Random Variables Week 12. Pairs of Random Variables Week 13. Pairs of Random Variables Week 14. Pairs of Random Variables Week 15. Pairs of Random Variables Week 16. Random Vectors Week 17. Sums of Random Variables, Dragon Boat Festival Week 18. Sums of Random Variables, Final Exam The schedule may be adjusted if necessary.
Evaluation and grading policy	Matlab Assignment 30% Midterm Exam 35% Final Exam 35%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Roy D. Yates and David J. Goodman, Probability and Stochastic Processes: A Friendly Introduction for Electrical and Computer Engineers, 2nd Edition, Wiley, 2004.
The access to curricular consultation	1. 本課程以北科i學園plus做為課程網頁，並設Line群方便同學聯繫與討論，Line群連結將於第一堂課前公告。 2. 如有加退選或課程問題請寄email給老師(wcchen@mail.ntut.edu.tw)
The course corresponds to the SDGs	SDG4：優質教育（Quality Education）
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	1. 可能因不可抗力之因素而調整授課方式、進度與評量方式。 2. 若同學因故無法到校時，可使用Google Meet視訊會議室上課，連結將於第一堂課前公告。