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 362506 Engineering Mathematics (I)　 1 3.0 3 ▲ Shiao,Yaojung 4VE2 48 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	362506	Engineering Mathematics (I)	1	3.0	3	▲	Shiao,Yaojung	4VE2	48	0

Course Plan：

Instructor Shiao,Yaojung　Office Hours

Email yshiao@ntut.edu.tw

Last Updated 2026-06-17 13:16:57

Course Objective Engineering Mathematics I - Ordinary Differential Equations (ODEs) - Power Series - Linear Algebra - Laplace Transforms - (Matrices) Pre-request: Had taken Calculus I & II and Well-established English Skills

Course Schedule wk 1 Class Introduction wk 2-6 Chap. 1 1st Order ODEs, project 01 wk 7 Chap. 2+3 2nd & High Order Linear ODEs wk 8 Midterm Exam wk 9 Ch.4 Systems of ODEs, project 02 wk10-14 Ch.6 Laplace Transform wk15 Ch.5 Series Solutions of ODEs, wk16 Final Exam wk17-18 auxiliary learning

Evaluation and grading policy Midterm Exam 35% Final Exam 35% Project 10% Homework 5% quiz 10% class performance 5%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
O'Neil, Advanced Engineering Mathematics, 8/e (SI Edition)

The access to curricular consultation TA
office hours

Expanding teaching and resources ● 參與式創新教學 (Participatory & Innovative Teaching)
強調學生參與與產出，導入翻轉、PBL/專題、設計思考或遊戲化等策略。
Emphasizes student engagement and outcomes by adopting strategies such as Flipped Classroom, PBL (Problem/Project- Based Learning), Design Thinking, or Gamification.
● 數位科技融入 (Digital Technology Integration)
運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。
Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.

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

Does the course incorporate AI ● 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）

Note
In the weeks of auxiliary learning, self-learning for students is performed, and no scoring for this performance.

Instructor	Shiao,Yaojung　Office Hours
Email	yshiao@ntut.edu.tw
Last Updated	2026-06-17 13:16:57
Course Objective	Engineering Mathematics I - Ordinary Differential Equations (ODEs) - Power Series - Linear Algebra - Laplace Transforms - (Matrices) Pre-request: Had taken Calculus I & II and Well-established English Skills
Course Schedule	wk 1 Class Introduction wk 2-6 Chap. 1 1st Order ODEs, project 01 wk 7 Chap. 2+3 2nd & High Order Linear ODEs wk 8 Midterm Exam wk 9 Ch.4 Systems of ODEs, project 02 wk10-14 Ch.6 Laplace Transform wk15 Ch.5 Series Solutions of ODEs, wk16 Final Exam wk17-18 auxiliary learning
Evaluation and grading policy	Midterm Exam 35% Final Exam 35% Project 10% Homework 5% quiz 10% class performance 5%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes O'Neil, Advanced Engineering Mathematics, 8/e (SI Edition)
The access to curricular consultation	TA office hours
Expanding teaching and resources	● 參與式創新教學 (Participatory & Innovative Teaching) 強調學生參與與產出，導入翻轉、PBL/專題、設計思考或遊戲化等策略。 Emphasizes student engagement and outcomes by adopting strategies such as Flipped Classroom, PBL (Problem/Project- Based Learning), Design Thinking, or Gamification. ● 數位科技融入 (Digital Technology Integration) 運用生成式AI、VR/AR、IoT、IRS等新興科技輔助教學與評量。 Utilizes emerging technologies such as Generative AI, VR/AR, IoT, and IRS (Interactive Response Systems) to facilitate teaching and assessment.
The course corresponds to the SDGs	SDG4：優質教育（Quality Education）
Does the course incorporate AI	● 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）
Note	In the weeks of auxiliary learning, self-learning for students is performed, and no scoring for this performance.