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 363521 Engineering Analysis 1 3.0 3 ★ Hong-Chuong Tran GME
IMMA 11 0 機電、外生專班合開，限21人，英文授課

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Fall Semester Year 2026	363521	Engineering Analysis	1	3.0	3	★	Hong-Chuong Tran	GME IMMA	11	0	機電、外生專班合開，限21人，英文授課

Course Plan：

Instructor Hong-Chuong Tran　Office Hours

Email hctran@ntut.edu.tw

Last Updated 2026-06-08 14:21:50

Course Objective 偏微分方程式、變分法、張量分析、工程統計及積分方程式等工程分析用工具知識。 Partial Differential equation, Variation Principle, Tensor Analysis, Engineering Statistics and Integral equation.

Course Schedule Week 1:Matrix Algebra and Numerical Solution of Linear Systems Weeks 2–3:Curve Fitting and Regression Analysis (Exact Interpolation, Least-Squares Approximation, and Spline Methods) Weeks 4–6:Numerical Methods for Nonlinear Equations (Polynomial and Transcendental Root Finding) Week 7:Interpolation, Finite Differences, and Numerical Differentiation Week 8: Midterm Presentation Weeks 9–11:Numerical Integration and Engineering Applications Weeks 12–15: Numerical Solution of Ordinary Differential Equations (Initial and Boundary Value Problems) Week 16: Final Presentation Weeks 17–18: Flexible Learning Activities (Online Learning, Coding Project Development, and Final Report Submission)

Evaluation and grading policy Programming assignments and exercises: 30% Midterm assessment: 30% Group project and presentation: 40%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Engineering Analysis: Interactive Methods and Programs with FORTRAN, QuickBASIC, MATLAB, and Mathematica

The access to curricular consultation Contact Instructor via email address : hctran@ntut.edu.tw or during 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.

The course corresponds to the SDGs SDG4：優質教育（Quality Education）
SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）

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
　

Instructor	Hong-Chuong Tran　Office Hours
Email	hctran@ntut.edu.tw
Last Updated	2026-06-08 14:21:50
Course Objective	偏微分方程式、變分法、張量分析、工程統計及積分方程式等工程分析用工具知識。 Partial Differential equation, Variation Principle, Tensor Analysis, Engineering Statistics and Integral equation.
Course Schedule	Week 1:Matrix Algebra and Numerical Solution of Linear Systems Weeks 2–3:Curve Fitting and Regression Analysis (Exact Interpolation, Least-Squares Approximation, and Spline Methods) Weeks 4–6:Numerical Methods for Nonlinear Equations (Polynomial and Transcendental Root Finding) Week 7:Interpolation, Finite Differences, and Numerical Differentiation Week 8: Midterm Presentation Weeks 9–11:Numerical Integration and Engineering Applications Weeks 12–15: Numerical Solution of Ordinary Differential Equations (Initial and Boundary Value Problems) Week 16: Final Presentation Weeks 17–18: Flexible Learning Activities (Online Learning, Coding Project Development, and Final Report Submission)
Evaluation and grading policy	Programming assignments and exercises: 30% Midterm assessment: 30% Group project and presentation: 40%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Engineering Analysis: Interactive Methods and Programs with FORTRAN, QuickBASIC, MATLAB, and Mathematica
The access to curricular consultation	Contact Instructor via email address : hctran@ntut.edu.tw or during 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.
The course corresponds to the SDGs	SDG4：優質教育（Quality Education） SDG9：產業創新與基礎設施（Industry, Innovation and Infrastructure）
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