Wykłady prof. Gilberta Stranga opublikowane dla wszystkich zainteresowanych na stronach MIT:

- Lecture 31: Change of basis; image compression
- Lecture 2: Elimination with matrices
- Lecture 24: Markov matrices; fourier series
- Lecture 3: Multiplication and inverse matrices
- Lecture 20: Cramer's rule, inverse matrix, and volume
- Lecture 4: Factorization into A = LU
- Lecture 27: Positive definite matrices and minima
- Lecture 5: Transposes, permutations, spaces R^n
- Lecture 1: The geometry of linear equations
- Lecture 6: Column space and nullspace
- Lecture 22: Diagonalization and powers of A
- Lecture 7: Solving Ax = 0: pivot variables, special solutions
- Lecture 25: Symmetric matrices and positive definiteness
- Lecture 8: Solving Ax = b: row reduced form R
- Lecture 29: Singular value decomposition
- Lecture 9: Independence, basis, and dimension
- Lecture 33: Left and right inverses; pseudoinverse
- Lecture 10: The four fundamental subspaces
- Lecture 19: Determinant formulas and cofactors
- Lecture 11: Matrix spaces; rank 1; small world graphs
- Lecture 21: Eigenvalues and eigenvectors
- Lecture 12: Graphs, networks, incidence matrices
- Lecture 23: Differential equations and exp(At)
- Lecture 13: Quiz 1 review
- Lecture 24b: Quiz 2 review
- Lecture 14: Orthogonal vectors and subspaces
- Lecture 26: Complex matrices; fast fourier transform
- Lecture 15: Projections onto subspaces
- Lecture 28: Similar matrices and jordan form
- Lecture 16: Projection matrices and least squares
- Lecture 30: Linear transformations and their matrices
- Lecture 17: Orthogonal matrices and Gram-Schmidt
- Lecture 32: Quiz 3 review
- Lecture 18: Properties of determinants
- Lecture 34: Final course review