This lecture covers the spectral theorem, focusing on eigenvalues and eigenvectors, and their importance in forming an orthogonal basis. The instructor explains the concept of spectral theorem, demonstrates the calculation of eigenvalues and eigenvectors, and provides examples to illustrate the theory. The lecture also discusses the application of spectral theorem in forming an orthogonal basis and its significance in linear algebra.