Course Syllabus

Course Information：

Year-Semester Course Number Course Name Phase Credits Hours Required/Elective Instructor Class Student NO. Withdraw Note

Spring Semester
Year 2021 283946 Linear Algebra 1 3.0 3 ▲ Hao-Shun Yang 4EN1A 62 1 　

Year-Semester	Course Number	Course Name	Phase	Credits	Hours	Required/Elective	Instructor	Class	Student NO.	Withdraw	Note
Spring Semester Year 2021	283946	Linear Algebra	1	3.0	3	▲	Hao-Shun Yang	4EN1A	62	1

Course Plan：

Instructor Hao-Shun Yang

Email haoshun@ntut.edu.tw

Last Updated 2020-12-07 21:58:03

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 and least squares Week 16: Symmetric matrices and quadratic forms 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

The course corresponds to the SDGs

Does the course incorporate AI

Note
　

Instructor	Hao-Shun Yang
Email	haoshun@ntut.edu.tw
Last Updated	2020-12-07 21:58:03
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 and least squares Week 16: Symmetric matrices and quadratic forms 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
The course corresponds to the SDGs
Does the course incorporate AI
Note