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 355605 Linear Algebra 1 3.0 3 ▲ Hao-Shun Yang 4EN1A 55 0 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2026	355605	Linear Algebra	1	3.0	3	▲	Hao-Shun Yang	4EN1A	55	0

Course Plan：

Instructor Hao-Shun Yang　Office Hours

Email haoshun@ntut.edu.tw

Last Updated 2025-12-15 10:59:47

Course Objective 線性代數為工程類學科之基礎數學之一,著重於訓練學生矩陣運算及基本數學証明.課程大綱如下： 1.解聯立方程式 2.矩陣運算 3.行列式 4.向量空間 5.線性轉換 6.特徵值及特徵向量 7.選擇性題材,視時間充許教授下列之一：矩陣數值方法, Jordan form ,或線性規劃

Course Schedule Week 1: Introduction Week 2: Linear equations in linear algebra Week 3: Systems of linear equations Week 4: Vector equations Week 5: Matrix algebra Week 6: Determinants Week 7: Volume and linear transformations Week 8: Vector spaces Week 9: Midterm exam Week 10: Null and column spaces Week 11: Linear transformations and independent sets Week 12: Coordinate systems Week 13: Eigenvalues Week 14: Eigenvectors Week 15: Orthogonality Week 16: Symmetric matrices Week 17: Geometry of vector spaces Week 18: Final exam

Evaluation and grading policy 期中考 40% 期末考 60%

Materials All right reserved. Do not reproduce without permission.

Foreign-language textbooks:Yes
Linear Algebra and its Applications (Fifth Edition) by David C. Lay, Stephen R. Lay, Judi J. McDonald

The access to curricular consultation Email: haoshun@mail.ntut.edu.tw

Expanding teaching and resources

The course corresponds to the SDGs 無（None）

Does the course incorporate AI ● 無（None）

Note
Email: haoshun@mail.ntut.edu.tw

Instructor	Hao-Shun Yang　Office Hours
Email	haoshun@ntut.edu.tw
Last Updated	2025-12-15 10:59:47
Course Objective	線性代數為工程類學科之基礎數學之一,著重於訓練學生矩陣運算及基本數學証明.課程大綱如下： 1.解聯立方程式 2.矩陣運算 3.行列式 4.向量空間 5.線性轉換 6.特徵值及特徵向量 7.選擇性題材,視時間充許教授下列之一：矩陣數值方法, Jordan form ,或線性規劃
Course Schedule	Week 1: Introduction Week 2: Linear equations in linear algebra Week 3: Systems of linear equations Week 4: Vector equations Week 5: Matrix algebra Week 6: Determinants Week 7: Volume and linear transformations Week 8: Vector spaces Week 9: Midterm exam Week 10: Null and column spaces Week 11: Linear transformations and independent sets Week 12: Coordinate systems Week 13: Eigenvalues Week 14: Eigenvectors Week 15: Orthogonality Week 16: Symmetric matrices Week 17: Geometry of vector spaces Week 18: Final exam
Evaluation and grading policy	期中考 40% 期末考 60%
Materials	All right reserved. Do not reproduce without permission. Foreign-language textbooks:Yes Linear Algebra and its Applications (Fifth Edition) by David C. Lay, Stephen R. Lay, Judi J. McDonald
The access to curricular consultation	Email: haoshun@mail.ntut.edu.tw
Expanding teaching and resources
The course corresponds to the SDGs	無（None）
Does the course incorporate AI	● 無（None）
Note	Email: haoshun@mail.ntut.edu.tw