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	362257	Engineering Mathematics (I)	1	3.0	3	▲	Chuang Cheng Ta	4EE2C	40	0

Course Plan：

Instructor	Chuang Cheng Ta　Office Hours
Email	ctchuang@ntut.edu.tw
Last Updated	2026-06-08 02:21:44
Course Objective	(1)First-Order ODEs. (2)Second-Order ODEs. (3)Higher Order ODEs. (4)Systems of ODEs, Phase plane, Qualitative methods (5)Laplace transforms.
Course Schedule	Week 1 : First-Order Differential Equations Week 2 : First-Order Differential Equations Week 5 : First-Order Differential Equations Week 4 : Second-Order Differential Equation Week 5 : Second-Order Differential Equations Week 6 : Second-Order Differential Equations Week 7 : High-Order Differential Equations Week 8 : High-Order Differential Equations Week 9 : Midterm Exam Week 10 : Systems of ODEs Week 11 : Systems of ODEs Week 12 : Series Solutions of ODEs Week 13 : Series Solutions of ODEs Week 14 : Laplace Transforms Week 15 : Laplace Transforms Week 16 : Laplace Transforms Week 17 : Laplace Transforms Week 18 : Final Exam
Evaluation and grading policy	Midterm Exam 30% Final Exam 30% Homework + Quiz + Attendance 40%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Erwin Kreyszig, Advanced Engineering Mathematics, 10th edition, Wiley.
The access to curricular consultation	Office Hour: Mon. 14:00-16:00 Wed . 10:00-12:00 Fri. 10:00-12:00 (Please make an appointment first.) Email: ctchuang@ntut.edu.tw
Expanding teaching and resources	● 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） 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	● 鼓勵學生使用生成式AI工具（Encourage students to use generative AI tools）
Note	Flexible Learning (Weeks 17–18) Category: Student group practice and discussion Content: Week 17: Course discussion Week 18: Final Exam Hours: 6 hours Learning Outcomes: Week 17: Student assignments Week 18: Final Exam Assessment Weighting: Final Exam 30%