Introduction to vectors -- Solving linear equations -- Vector spaces and subspaces -- Orthogonality -- Determinants -- Eigenvalues and eigenvectors -- The singular value decomposition (SVD) -- Linear transformations -- Complex vectors and matrices -- Applications -- Numeral linear algebra -- Linear algebra in probability & statistics -- Matrix factorizations -- Index -- Six great theorems, linear algebra in a nutshell.