Master Linear Algebra: Comprehensive Course and Practice
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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269 learners
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
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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 115:19
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 212:42
Linear Algebra: Matrix Product (Full lecture)56:13
Linear Algebra: Inverse of a Linear Transformation (Full Lecture)56:19
Linear Algebra: Extra Practice Worksheet 317:09
Linear Algebra: Test 1 Review01:16:38
Linear Algebra: Test 1 Practice test34:22
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 412:39
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 Theorem14:08
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 514:55
Linear Algebra: Gram-Schmidt Process and QR Factorization (full lecture)01:10:01
Linear Algebra: Orthogonal Transformations and Matrices (Full Lecture)57:00
Linear Algebra: Extra Practice Worksheet 616:52
Linear Algebra: Worksheet 6 (Alternate Version)22:53
Linear Algebra: Test 2 Review01:08:54
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)08:47
Linear Algebra: Determinants (Full Lecture)58:29
Linear Algebra: Extra Practice Worksheet 713:42
Linear Algebra: Diagonalization (full lecture)46:36
Linear Algebra: Finding the Eigenvalues of a Matrix (full lecture)56:25
Linear Algebra: Extra Practice Worksheet 814:28
Linear Algebra: Finding Eigenvectors of a Matrix (full lecture)53:21
Linear Algebra: Characteristic Polynomial and Diagonalization Examples10:21
Linear Algebra: Symmetric Matrices (Full lecture)55:25
Linear Algebra: Extra Practice Worksheet 915:30
Linear Algebra: Test 3 Review01:14:52
Linear Algebra: Getting Ready for Singular Value Decomposition20:22
Linear Algebra: Singular Value Decomposition (Full lecture)52:34
