1. Vector (geometric intuition)
  2. Vector spaces
  3. Subspaces
  4. Linear combinations
  5. Span
  6. Linear independence
  7. Basis
  8. Dimension
  9. Linear applications
  10. Kernel and image
  11. Matrices as representations of linear maps
  12. Gaussian elimination
  13. Rank
  14. Determinants
  15. Eigenvalues and eigenvectors
  16. Diagonalization