This lecture covers the concept of singular values in linear algebra, focusing on the diagonalization of matrices, the existence of singular value decomposition, and the properties of singular values and eigenvectors. It also discusses the relationship between singular values and eigenvalues, as well as practical examples of finding singular values in matrices.