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Linear Algebra (MATH 324)

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Linear Algebra (MATH 324)

Matrices, matrix operations, solving system of linear equations, vectors operations, basis and sub-basis, linear transformations, eigenvalues.

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Total Lessonses 32 Total hours : 11:72:80 Duration Of Course 17 weeks

About the Course :

By taking this course, you will be able to understand the basic concepts in linear algebra, such as matrices, operations on them, determinants, and methods for calculating them, as well as systems of linear equations and methods for solving them, then introducing the concept of vector spaces and topics related to it, such as subspace, linear composition, linear transformation, independence, and linear correlation, eigenvalues, then the concept of basis and dimension, as well as the order of the matrix, and introducing the concept of vector coordinates.
You Will Learn :

Introduction to Matrix, Matrix Operations, Cramer’s Rule, Inverse Matrix, Diagonalization of Matrix, Adjoint Matrices, Gauss Jordon Elimination, Rank and Matrix Inverse, Areas of Triangle Using Determinants, Revision, Vector Spaces, Dot Product, Norm, Angle, The Angle between Two Vectors and Cross, Orthogonal Vector and Product, Subspaces, Subspaces of Vector Space, General Vector Spaces, Angles and Orthogonal, Basis and Dimensions, Inner Product in Complex Numbers, Length and Dot Product in Rn, Linear Transformation, Linear Dependent and Linear Independent, Coordinate Matrices and Change of Basis, Kernel and Range of Linear Transformations, Matrices of General Linear Transformations, Eigenvalues and Eigenvectors, Diagonalization.
Target Group :

*Academic Level : Academic University Student
* Speciality : Mathematics
* Material : Linear Algebra (MATH 324)
* University Name : Jazan University
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Total Lessonses 32 Total Hours 11:72:80 Duration Of Course 17 weeks

Introduction to Matrix

1 Lessons

0:15:13

Introduction to Matrix
0:15:13

Show

Recorded Session

Matrix Operations

2 Lessons

1:13:17

Matrix Operations Part 1
0:26:59

Show

Recorded Session

Matrix Operations Part 2
0:46:48

Show

Recorded Session

Cramer’s Rule

1 Lessons

0:32:01

Cramer’s Rule
0:32:01

Closed

Recorded Session

Inverse Matrix

1 Lessons

0:36:42

Inverse Matrix
0:36:42

Closed

Recorded Session

Diagnalization of Matrix

3 Lessons

0:43:38

Diagonal Matrix Part 1
0:09:53

Closed

Recorded Session

Diagonal Matrix Part 2
0:14:14

Closed

Recorded Session

Diagonal Matrix Part 3
0:19:31

Closed

Recorded Session

Adjoint Matrices

1 Lessons