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

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
Note