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MIT 18.06 Linear Algebra, Spring 2005

Overview

Instructor: Prof. Gilbert Strang

This is a basic subject on matrix theory and linear algebra. Emphasis is given to topics that will be useful in other disciplines, including systems of equations, vector spaces, determinants, eigenvalues, similarity, and positive definite matrices. *Please note that lecture 4 is unavailable in a higher quality format.

Find more lecture notes, study materials, and more courses at http://ocw.mit.edu.

Videos in this playlist 36

  1. An Interview with Gilbert Strang on Teaching Linear Algebra
  2. 1. The Geometry of Linear Equations
  3. 2. Elimination with Matrices.
  4. 3. Multiplication and Inverse Matrices
  5. 4. Factorization into A = LU
  6. 5. Transposes, Permutations, Spaces R^n
  7. 6. Column Space and Nullspace
  8. 7. Solving Ax = 0: Pivot Variables, Special Solutions
  9. 8. Solving Ax = b: Row Reduced Form R
  10. 9. Independence, Basis, and Dimension
  11. 10. The Four Fundamental Subspaces
  12. 11. Matrix Spaces; Rank 1; Small World Graphs
  13. 12. Graphs, Networks, Incidence Matrices
  14. 13. Quiz 1 Review
  15. 14. Orthogonal Vectors and Subspaces
  16. 15. Projections onto Subspaces
  17. 16. Projection Matrices and Least Squares
  18. 17. Orthogonal Matrices and Gram-Schmidt
  19. 18. Properties of Determinants
  20. 19. Determinant Formulas and Cofactors
  21. 20. Cramer's Rule, Inverse Matrix, and Volume
  22. 21. Eigenvalues and Eigenvectors
  23. 22. Diagonalization and Powers of A
  24. 23. Differential Equations and exp(At)
  25. 24. Markov Matrices; Fourier Series
  26. 24b. Quiz 2 Review
  27. 25. Symmetric Matrices and Positive Definiteness
  28. 26. Complex Matrices; Fast Fourier Transform
  29. 27. Positive Definite Matrices and Minima
  30. 28. Similar Matrices and Jordan Form
  31. 29. Singular Value Decomposition
  32. 30. Linear Transformations and Their Matrices
  33. 31. Change of Basis; Image Compression
  34. 32. Quiz 3 Review
  35. 33. Left and Right Inverses; Pseudoinverse
  36. 34. Final Course Review

Advantages and disadvantages

Advantages

  • Free and complete: every lecture is in the playlist, in order.
  • Watch at 1.5x, skip what you know, rewatch what you don't.
  • Taught by Massachusetts Institute of Technology, one of the strongest names in its field.
  • 3,365,342 views, so help and notes are easy to find.
  • Completely free.
  • Self-paced: start any time.
  • A clear syllabus (36 videos) you can see before you start.
  • Start watching right away, no sign-up.

Disadvantages

  • No certificate, deadlines or graded work.
  • Quality and depth vary: check that the playlist is finished before you start.
  • No certificate.
  • No graded assignments or feedback.

Some points apply to every course of this kind; see how we rank.

Free

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  • Certificate: None. Code or take notes along to make it stick.

Massachusetts Institute of Technology is in Tier 1: world-leading universities and India's top institutes of our institution ranking (98/100). OpenCourseWare is the gold standard for free university material.

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