Linear Algebra Lectures
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What you'll learn
This course includes
- 9.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 50 lessons • 9.5 hours of video
Linear Algebra Lectures
50 lessons
• 9.5 hours
Linear Algebra Lectures
50 lessons
• 9.5 hours
- Linear Algebra - Lecture 1 - Introduction10:12
- Linear Algebra - Lecture 2 - Elimination21:22
- Linear Algebra - Lecture 3 - Echelon Form10:02
- Linear Algebra - Lecture 4 - Row Reduction18:23
- Linear Algebra Example: Row Reduction27:24
- Linear Algebra - Lecture 5 - Solutions to Linear Systems10:04
- Linear Algebra - Lecture 6 - Vectors09:33
- Linear Algebra - Lecture 7 - Linear Combinations and Vector Equations08:10
- Linear Algebra - Lecture 8 - Span06:23
- Linear Algebra Example: Span Questions12:47
- Linear Algebra - Lecture 9 - Matrix Equations18:49
- Linear Algebra - Lecture 10 - Homogeneous Linear Systems08:54
- Linear Algebra Example: Parametric Solutions06:48
- Linear Algebra - Lecture 11 - Non-Homogeneous Linear Systems10:58
- Linear Algebra - Lecture 12 - Applications to Economics05:56
- Linear Algebra - Lecture 13 - Applications to Chemistry05:52
- Linear Algebra - Lecture 14 - Applications to Networks06:15
- Linear Algebra - Lecture 15 - Linear Independence13:46
- Linear Independence Problems - Using the Definition09:05
- Linear Algebra - Lecture 16 - Characterization of Linearly Dependent Sets12:22
- Linear Algebra: Linear Independence Problems12:13
- Linear Algebra - Lecture 17 - Matrix Transformations11:32
- Linear Algebra - Lecture 18 - Linear Transformations09:19
- Linear Algebra - Lecture 19 - The Matrix of a Linear Transformation10:44
- Linear Algebra - Lecture 20 - Existence and Uniqueness Questions10:47
- Linear Algebra - Lecture 21 - Matrix Operations14:14
- Linear Algebra - Lecture 22 - Properties of Matrix Multiplication12:32
- Linear Algebra - Lecture 23 - The Inverse of a Matrix08:26
- Linear Algebra - Lecture 24 - Elementary Matrices and Inverses15:59
- Linear Algebra - Lecture 25 - The Invertible Matrix Theorem12:02
- Linear Algebra - Lecture 26 - Determinants14:54
- Linear Algebra - Lecture 27 - Subspaces of R^n24:55
- Linear Algebra - Lecture 28 - Null Space of a Matrix13:03
- Linear Algebra - Lecture 29 - Column Space of a Matrix12:54
- Linear Algebra - Lecture 30 - Basis of a Subspace14:37
- Linear Algebra - Lecture 31 - Coordinate Systems12:53
- Linear Algebra - Lecture 32 - Dimension, Rank, and Nullity10:38
- Linear Algebra - Lecture 33 - Eigenvectors and Eigenvalues13:59
- Linear Algebra - Lecture 34 - The Characteristic Equation13:53
- Linear Algebra - Lecture 35 - Diagonalizable Matrices08:54
- Linear Algebra - Lecture 36 - Diagonalizing a Matrix09:29
- Linear Algebra - Lecture 37 - Inner Product, Length, and Orthogonality12:33
- Linear Algebra - Lecture 38 - Orthogonal Sets11:56
- Linear Algebra - Lecture 39 - Orthonormal Sets09:27
- Linear Algebra - Lecture 40 - The Gram-Schmidt Process05:46
- Linear Algebra - Lecture 41 - Diagonalization of Symmetric Matrices15:12
- Linear Algebra - Lecture 42 - The Singular Value Decomposition17:35
- Linear Algebra Example: The Singular Value Decomposition10:40
- Linear Algebra - Lecture 43 - Image Processing06:08
- Linear Algebra Example: Determinants07:47
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