This lecture covers the theory and applications of orthogonal projections, focusing on the Gram-Schmidt process for orthonormalization. It explains how to find an orthonormal base from a given base, ensuring independence and meeting specific criteria. The lecture also discusses the properties of orthogonal projections and their minimal polynomials, emphasizing diagonalizability.