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SyllabusDemo

18 topics, 24 prerequisite links. The keystones — Linear Systems and Gaussian Elimination (14), Four Fundamental Subspaces (11), Matrix Algebra and Inverses (8) — have the most topics resting on them.

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All topics in learning order
  1. Linear Systems and Gaussian Eliminationstarting point
  2. Matrix Algebra and Inversesneeds Linear Systems and Gaussian Elimination
  3. Vector Subspacesstarting point
  4. Four Fundamental Subspacesneeds Linear Systems and Gaussian Elimination
  5. Linear Independence and Spanneeds Vector Subspaces
  6. Basis and Dimensionneeds Linear Independence and Span, Four Fundamental Subspaces
  7. Linear Transformations and Matrix Representationsneeds Basis and Dimension, Matrix Algebra and Inverses
  8. Inner Products and Normsstarting point
  9. Orthogonal Subspaces and Complementsneeds Inner Products and Norms, Four Fundamental Subspaces
  10. Projections and Least Squaresneeds Orthogonal Subspaces and Complements
  11. Gram-Schmidt and QR Factorizationneeds Inner Products and Norms, Projections and Least Squares
  12. Determinants and Propertiesneeds Matrix Algebra and Inverses
  13. Eigenvalues and Eigenvectorsneeds Determinants and Properties, Four Fundamental Subspaces
  14. Matrix Diagonalizationneeds Eigenvalues and Eigenvectors, Basis and Dimension
  15. Symmetric Matrices and Spectral Theoremneeds Matrix Diagonalization, Gram-Schmidt and QR Factorization
  16. Positive Definite Matricesneeds Symmetric Matrices and Spectral Theorem
  17. Singular Value Decomposition (SVD)needs Symmetric Matrices and Spectral Theorem, Projections and Least Squares
  18. Engineering Applicationsneeds Singular Value Decomposition (SVD), Projections and Least Squares