Linear Algebra (Full Course)
5.0
(2)
14 learners
What you'll learn
This course includes
- 14.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 35 lessons • 14.5 hours of video
Linear Algebra (Full Course)
35 lessons
• 14.5 hours
Linear Algebra (Full Course)
35 lessons
• 14.5 hours
- Linear Algebra 1.1 Introduction to Systems of Linear Equations44:59
- Linear Algebra 1.2 Gaussian and Gauss-Jordan Elimination43:12
- Linear Algebra 1.3 Applications of Systems of Linear Equations14:31
- Linear Algebra 2.1 Operations with Matrices31:52
- Linear Algebra 2.2 Properties of Matrix Operations19:56
- Linear Algebra 2.3 The Inverse of a Matrix24:32
- Linear Algebra 2.4 Elementary Matrices26:03
- Linear Algebra 2.5 Markov Chains43:34
- Linear Algebra 2.6 More Applications of Matrix Operations18:59
- Linear Algebra 3.1 The Determinant of a Matrix18:13
- Linear Algebra 3.2 Determinants and Elementary Operations07:15
- Linear Algebra 3.3 Properties of Determinants04:20
- Linear Algebra 3.4 Applications of Determinants25:00
- Linear Algebra 4.1 Vectors in Rn21:13
- Linear Algebra 4.2 Vector Spaces19:29
- Linear Algebra 4.3 Subspaces of Vector Spaces11:03
- Linear Algebra 4.4 Spanning Sets and Linear Independence21:24
- Linear Algebra 4.5 Basis and Dimension27:50
- Linear Algebra - 4.6 Rank of a Matrix and Systems of Linear Equations40:46
- Linear Algebra 4.7 Coordinates and Change of Basis23:31
- Linear Algebra 4.8 Applications of Vector Spaces39:57
- Linear Algebra 5.1 Length and Dot Product in Rn37:41
- Linear Algebra 5.2 Inner Product Spaces23:56
- Linear Algebra 5.3 Orthonormal Bases: Gram-Schmidt Process25:14
- Linear Algebra 5.4 Mathematical Models and Least Squares Analysis40:52
- Linear Algebra 5.5 Applications of Inner Product Spaces08:13
- Linear Algebra 6.1 Introduction to Linear Transformations17:34
- Linear Algebra 6.2 The Kernel and Range of a Linear Transformation27:05
- Linear Algebra 6.3 Matrices for Linear Combinations30:02
- Linear Algebra 6.4 Transition Matrices and Similarity11:35
- Linear Algebra 6.5 - Applications of Linear Transformations12:49
- Linear Algebra 7.1 Eigenvalues and Eigenvectors27:55
- Linear Algebra 7.2 Diagonalization24:36
- Linear Algebra 7.3 Symmetric Matrices and Orthogonal Diagonalization35:47
- Linear Algebra 7.4 Applications of Eigenvalues and Eigenvectors20:49
