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	359300	Engineering Analysis	1	3.0	3	★	MA KUEN WAI	GME	5	0	限20人；甲乙丙組選修

Course Plan：

Instructor	MA KUEN WAI　Office Hours
Email	kwma@ntut.edu.tw
Last Updated	2025-12-18 17:12:03
Course Objective	This course will introduce the numerical, statistical, and computational methods in engineering analysis, including following topics: Partial Differential Equations and Boundary Value Problems; Numerical Methods and Computational Mechanics; Statical Analysis Methods; and Machine Learning Methods.
Course Schedule	1 Course Introduction 2 Mathematical Fundamentals and Notation 3 Partial Differential Equations and Boundary Value Problems (I) 4 Partial Differential Equations and Boundary Value Problems (II) 5 Numerical Methods and Computational Mechanics (I) 6 Numerical Methods and Computational Mechanics (II) 7 No lecture (Compensatory holiday for Tomb Sweeping Day) 8 Probability Theory in Data Analysis 9 Mid-term exam 10 Statical Analysis Methods (I) 11 Statical Analysis Methods (II) 12 Statistical Analysis Software 13 Data Presentation 14 In-class exercise 15 Classification and Clustering Analysis 16 Machine Learning Methods (I) 17 Machine Learning Methods (II) 18 Final exam
Evaluation and grading policy	Subject Mark = Attendance 20% + Mid-term exam 25% + In-class exercise 20% + Final exam 35%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:No Use of self-made materials
The access to curricular consultation	Email: kwma@ntut.edu.tw; Tel: 02-27712171 #2074
The course corresponds to the SDGs	無（None）
Does the course incorporate AI	● 無（None）
Note