Linear Algebra Full Course
Master Linear Algebra: From Basics to Breakthroughs with Dr. Valerie Hower! Dive into comprehensive lectures, interactive practice, and real-world applications. Elevate your understanding and conquer Linear Algebra like a pro today!
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What you'll learn
- Understand and solve linear systems using matrix algebra
- Perform Gauss Jordan elimination and matrix product calculations
- Apply linear transformations in geometric contexts
- Identify and calculate eigenvalues and eigenvectors of matrices
This course includes
- 29.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 44 lessons • 29.5 hours of video
Master Linear Algebra: Comprehensive Course and Practice
44 lessons
• 29.5 hours
Master Linear Algebra: Comprehensive Course and Practice
44 lessons
• 29.5 hours
- Welcome to the Linear Algebra Full Course Playlist!! 03:17
- Linear Algebra: Introduction to Linear Systems (Full Lecture) 41:07
- Linear Algebra: Matrices, Vectors, and Gauss Jordan Elimination (Full lecture) 01:02:38
- Linear Algebra: Linear Systems and Matrix Algebra (full lecture) 01:10:35
- Linear Algebra: Extra Practice Worksheet 1 15:19
- Linear Algebra: Intro. to Linear Transformations (Full Lecture) 51:45
- Linear Algebra: Linear Transformations in Geometry (full lecture) 01:10:03
- Linear Algebra: Extra Practice Worksheet 2 12:43
- Linear Algebra: Matrix Product (Full lecture) 56:13
- Linear Algebra: Inverse of a Linear Transformation (Full Lecture) 56:19
- Linear Algebra: Extra Practice Worksheet 3 17:10
- Linear Algebra: Test 1 Review 01:16:39
- Linear Algebra: Test 1 Practice test 34:23
- Linear Algebra: Image and Kernel of a Linear Transformation (full lecture) 59:29
- Linear Algebra: Bases and Linear Independence (full lecture) 01:05:34
- Linear Algebra: Extra Practice Worksheet 4 12:39
- Linear Algebra: A Plane that is NOT a Subspace of R^3 (example) 04:14
- Linear Algebra: The Dimension of a Subspace (Full Lecture) 52:53
- Linear Algebra: Using the Rank Nullity Theorem 14:09
- Linear Algebra: What is the span of vectors in R^n? 17:52
- Linear Algebra: Orthogonal Projections and Orthonormal Bases (Full Lecture) 01:11:05
- Linear Algebra: Extra Practice Worksheet 5 14:56
- Linear Algebra: Gram-Schmidt Process and QR Factorization (full lecture) 01:10:01
- Linear Algebra: Orthogonal Transformations and Matrices (Full Lecture) 57:01
- Linear Algebra: Extra Practice Worksheet 6 16:52
- Linear Algebra: Worksheet 6 (Alternate Version) 22:54
- Linear Algebra: Test 2 Review 01:08:55
- Linear Algebra: Least Squares and Data Fitting (Full Lecture) 01:10:35
- Linear Algebra: The kernel of A^TA equals the kernel of A (set theoretic proof) 08:48
- Linear Algebra: Determinants (Full Lecture) 58:30
- Linear Algebra: Extra Practice Worksheet 7 13:43
- Linear Algebra: Diagonalization (full lecture) 46:36
- Linear Algebra: Finding the Eigenvalues of a Matrix (full lecture) 56:25
- Linear Algebra: Extra Practice Worksheet 8 14:28
- Linear Algebra: Finding Eigenvectors of a Matrix (full lecture) 53:22
- Linear Algebra: Characteristic Polynomial and Diagonalization Examples 10:22
- Linear Algebra: Symmetric Matrices (Full lecture) 55:26
- Linear Algebra: Extra Practice Worksheet 9 15:30
- Linear Algebra: Test 3 Review 01:14:53
- Linear Algebra: Getting Ready for Singular Value Decomposition 20:22
- Linear Algebra: Singular Value Decomposition (Full lecture) 52:35
- Linear Algebra: Extra Practice Worksheet 10 16:51
- Linear Algebra: 30 True or False Questions 31:29
- Linear Algebra: Final Exam Review 01:04:07
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