Linear Algebra Lectures 2025
5.0
(2)
37 learners
What you'll learn
This course includes
- 9.3 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 48 lessons • 9.3 hours of video
Linear Algebra Lectures 2025
48 lessons
• 9.3 hours
Linear Algebra Lectures 2025
48 lessons
• 9.3 hours
- Linear Algebra Example: Row Reduction 27:24
- Linear Algebra Example: Span Questions 12:47
- Linear Algebra: Linear Independence Problems 12:13
- Linear Algebra Lectures - Lecture 1 Introduction to Linear Algebra 05:57
- Linear Algebra Lectures - Lecture 2 Solving Systems by Elimination 12:59
- Linear Algebra Lectures - Lecture 3 What is "Echelon Form"? 08:16
- Linear Algebra Lectures - Lecture 4 Row Reduction 16:40
- Linear Algebra Lectures - Lecture 5 Solutions of Linear Systems 07:35
- Linear Algebra Lectures - Lecture 6 Vectors 09:59
- Linear Algebra Lectures - Lecture 7 Linear Combinations and Vector Equations 08:52
- Linear Algebra Lectures - Lecture 8 Span 11:12
- Linear Algebra Lectures - Lecture 9 Matrix Equations 14:58
- Linear Algebra Lectures - Lecture 10 Homogeneous Linear Systems 09:43
- Linear Algebra Lectures - Lecture 11 Non-Homogeneous Linear Systems 09:08
- Linear Algebra Lectures - Lecture 12 Applications to Economics 08:38
- Linear Algebra Lectures - Lecture 13 Applications to Chemistry 06:07
- Linear Algebra Lectures - Lecture 14 Applications to Networks 08:24
- Linear Algebra Lectures - Lecture 15 Linear Independence 11:34
- Linear Algebra Lectures - Lecture 16 Characterization of Linearly Dependent Sets 14:59
- Linear Algebra Lectures - Lecture 17 Matrix Transformations 08:38
- Linear Algebra Lectures - Lecture 18 Linear Transformations 16:09
- Linear Algebra Lectures - Lecture 19 The Matrix of a Linear Transformation 11:07
- Linear Algebra Lectures - Lecture 20 One-to-One and Onto Transformations 11:56
- Linear Algebra Lectures - Lecture 21 Matrix Operations 13:32
- Linear Algebra Lectures - Lecture 22 Properties of Matrix Multiplication 16:31
- Linear Algebra Lectures - Lecture 23 The Inverse of a Matrix 09:16
- Linear Algebra Lectures - Lecture 24 Elementary Matrices and Inverses 15:18
- Linear Algebra Lectures - Lecture 25 The Invertible Matrix Theorem 10:22
- Linear Algebra Lectures - Lecture 26 Determinants 13:04
- Linear Algebra Lectures - Lecture 26B Understanding Determinants 13:13
- Linear Algebra Lectures - Lecture 27 Subspaces of R^n 16:45
- Linear Algebra Lectures - Lecture 28 The Null Space of a Matrix 10:59
- Linear Algebra Lectures - Lecture 29 The Column Space of a Matrix 09:38
- Linear Algebra Lectures - Lecture 30 Basis 12:49
- Linear Algebra Lectures - Lecture 31 Coordinate Systems 11:33
- Linear Algebra Lectures - Lecture 32 Dimension, Rank, and Nullity 11:09
- Linear Algebra Lectures - Lecture 33 Eigenvectors and Eigenvalues 16:00
- Linear Algebra Lectures - Lecture 34 Characteristic Polynomials and Characteristic Equations 11:41
- Linear Algebra Lectures - Lecture 35 Diagonalizable Matrices 11:21
- Linear Algebra Lectures - Lecture 36 Diagonalizing a Matrix 10:10
- Linear Algebra Lectures - Lecture 37 Inner Product, Length, and Orthogonality 12:40
- Linear Algebra Lectures - Lecture 38 Orthogonal Sets 13:25
- Linear Algebra Lectures - Lecture 39 Orthonormal Sets 10:59
- Linear Algebra Lectures - Lecture 40 The Gram-Schmidt Process 10:49
- Linear Algebra Lectures - Lecture 41 Diagonalization of Symmetric Matrices 12:46
- Linear Algebra Lectures - Lecture 41B Proof of the Symmetric Matrix Theorem 09:37
- Linear Algebra Lectures - Lecture 42 The Singular Value Decomposition 14:27
- Linear Algebra Lectures - Lecture 43 Applications to Image Processing 05:49
