Lesson 1 (1.1 Systems of Linear Equations): Video, Notes
  Lesson 2 (1.2 Row Reduction and Echelon Forms): Video, Notes
  Lesson 3 (1.3 Vector Equations): Video, Notes
  Lesson 4 (1.4 & 1.5 The Matrix Equation Ax = b & Solution Sets of Linear Systems): Video, Notes
  Lesson 5 (1.7 & 1.8 Linear Independence & Introduction to Linear Transformations): Video, Notes
  Lesson 6 (1.9 The Matrix of Linear Transformation): Video, Notes 
  Lesson 7 (2.1 Matrix Operations): Video, Notes
  Lesson 8 (2.2 & 2.3 The Inverse of a Matrix): Video, Notes
  Lesson 9 (2.8 Subspaces of R^n): Video, Notes
  Lesson 10 (2.9 Dimension and Rank): Video, Notes
  Lesson 11 (3.1 & 3.2 Determinants): Video, Notes
  Lesson 12 (3.3 Cramer's Rule, Volume, and Linear Transformations): Video, Notes
  Lesson 13 (4.1 Vector Spaces and Subspaces): Video, Notes
  Lesson 14 (4.2 Null Space, Column Space, and Linear Transformations): Video, Notes
  Lesson 15 (4.3 Linear Independence Sets and Bases): Video, Notes
  Lesson 16 (4.5 The Dimension of a Vector Space): Video, Notes
  Lesson 17 (4.6 Rank): Video, Notes
  Lesson 18 (5.1 & 5.2 Eigenvectors, Eigenvalues, and Characteristic Equations): Video, Notes
  Lesson 19 (5.3 Diagonalization (Part 1)): Video, Notes
  Lesson 20 (5.3 Diagonalization (Part 2)): Video, Notes
  Lesson 21 (5.4 Eigenvectors and Linear Transformations): Video, Notes
  Lesson 22 (Appendix and 5.5 Complex Eigenvalues): Video, Notes
  Lesson 23 (5.7 Applications to Differential Equations): Video, Notes
  Lesson 24 (6.1 Inner Product, Length, and Orthogonality): Video, Notes
  Lesson 25 (6.2 Orthogonal Sets): Video, Notes
  Lesson 26 (6.3 Orthogonal Projections): Video, Notes
  Lesson 27 (6.4 The Gram-Schmidt Process): Video, Notes
  Lesson 28 (6.5 Least-Squares Problems): Video, Notes
  Lesson 29 (6.7 Inner Produce Spaces): Video, Notes
  Lesson 30 (7.1 Diagonalization of Symmetric Matrices (part 1)): Video, Notes
  Lesson 31 (7.1 Diagonalization of Symmetric Matrices (part 2)): Video, Notes