Linear Algebra (English) - 105 Academic Year

本課程是由 國立陽明交通大學電機工程學系 提供。

This is a flip classroom. In-class homeworks are given on a weekly basis. The students are to study before coming to the class. In the class, the students are asked to do the homeworks in groups, and present their own solutions.

(This course is taught in English.)

 

Textbook:Elementary Linear Algebra, 2nd edition by Spence, Insel, and Friedberg, 2008, Pearson Education.

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Instructor(s) College of Electrical and Computer Engineering Prof. Yuan-Pei Lin
Course Credits 3 Credits
Academic Year 105 Academic Year
Level College Students
Prior Knowledge 
Related Resources Course Video   Course Syllabus   Course Calendar 

WeekCourse ContentCourse Video
CH1#1 Matrices and VectorsWatch Online
CH1#2 Linear Combination, matrix-vector product, and special matricesWatch Online
CH1#3-1 System of linear equation PartIWatch Online
CH1#3-2 System of linear equation PartIIWatch Online
CH1#4-1 Gaussion elimination Part I
(a procedure for computing rref)
Watch Online
CH1#4-2 Gaussion elimination Part II
(a procedure for computing rref)
Watch Online
CH1#6-1 Span Part IWatch Online
CH1#6-2 Span Part IIWatch Online
CH1#7-1 Linearly independent sets and Linearly dependent sets Part IWatch Online
CH1#7-2 Linearly independent sets and Linearly dependent sets Part IIWatch Online
Ch2 Matrices & linear transformation
CH2#1 matrix multiplication
Watch Online
CH2#3 Invertible matrices and Elementary matricesWatch Online
CH2#3 Invertible matrices and Elementary matrices
CH2#4 Inverses Part I
Watch Online
CH2#3 Invertible matrices and Elementary matrices
CH2#4 Inverses Part II
Watch Online
CH2#7-1 Linearly transformation and matrices Part IWatch Online
CH2#7-2 Linearly transformation and matrices Part IIWatch Online
CH2#8-1 Composition and invertibility of linear tr Part IWatch Online
CH2#8-2 Composition and invertibility of linear tr Part IIWatch Online
CH3 Determinants
CH3#1Cofactor expansion
Watch Online
CH3#2-1 Properties of determinants Part IWatch Online
CH3#2-2 Properties of determinants Part IIWatch Online
CH4 Subspaces and PropertiesWatch Online
CH4#2-1 Basis and dimension Part IWatch Online
CH4#2-2 Basis and dimension Part IIWatch Online
CH4#2-3 Basis and dimension Part IIIWatch Online
CH4#3 Dimension of ColA, RowA, NullAWatch Online
CH4#4-1 Coordinate systems Part IWatch Online
CH4#4-2 Coordinate systems Part IIWatch Online
CH4#5 Matrix representation
of linear operator
Watch Online
CH5 Eigen values, eigen vectors and diagonalizationWatch Online
CH5#2-1 Characteristic Polynomials Part IWatch Online
CH5#2-2 Characteristic Polynomials Part IIWatch Online
CH5#3 Diagonalization of
matrices
Watch Online
CH6 Orthogonality
CH6#1-1 Geometry of vectors Part I
Watch Online
CH6#1-2 Geometry of vectors Part IIWatch Online
CH6#2-1 Orthogonal Vectors (orch) Part IWatch Online
CH6#2-2 Orthogonal Vectors (orch) Part IIWatch Online
CH6#3-1 Orth. Projection Part IWatch Online
CH6#3-2 Orth. Projection Part IIWatch Online
CH6#4-1 Least-squares approximation and o.p. matrices Part IWatch Online
CH6#4-2 Least-squares approximation and o.p. matrices Part IIWatch Online
CH6#5-1 Orth. matrices Part IWatch Online
CH6#5-2 Orth. matrices Part IIWatch Online
CH6#6-1 Symmetric matrices Part IWatch Online
CH6#6-2 Symmetric matrices Part IIWatch Online
CH6#7-0 Singular value decomposition (SVD) short storyWatch Online
CH6#7-1 Singular value decomposition Part IWatch Online
CH6#7-2 Singular value decomposition Part IIWatch Online
Ch6#6-8 Principal component analysis Part IWatch Online
Ch6#6-8 Principal component analysis Part IIWatch Online
CH7 Vector spaces
CH 7#1-1 Vector spaces and their subspace Part I
Watch Online
CH 7#1-2 Vector spaces and their subspace Part IIWatch Online
CH 7#2 Linear transformationsWatch Online
CH 7#3-1 Basis and Dimensions Part IWatch Online
CH 7#3-2 Basis and Dimensions Part IIWatch Online
CH 7#4-1 Matrix representation of linear operator Part IWatch Online
CH 7#4-2 Matrix representation of linear operator Part IIWatch Online
CH 7#5-1 Inner product space Part IWatch Online
CH 7#5-2 Inner product space Part IIWatch Online
 

課程目標

This is a flip classroom. In-class homeworks are given on a weekly basis.
The students are to study before coming to the class. In the class, the students are asked to do the homeworks in groups, and present their own solutions.

 

課程章節

章節內容
Matrices and Vectors
Linear Transformations 
Determinants
Subspaces
Eigenvalues and Eigenvectors
Orthogonality
Vector Spaces


課程書目

Elementary Linear Algebra, 2nd edition by Spence, Insel, and Friedberg, 2008, Pearson Education.

 

評分標準

項目百分比
Homeworks25%
Quiz20%
Midterm 25%
Final30%

本課程行事曆提供課程進度與考試資訊參考。

章節內容
Matrices and Vectors
Linear Transformations 
Determinants
Subspaces
Eigenvalues and Eigenvectors
Orthogonality
Vector Spaces