This lecture revisits the spectral theorem for symmetric matrices, emphasizing orthogonally diagonalizable properties and its equivalence with symmetric bilinear forms. The method for orthogonally diagonalizing a symmetric matrix is explained step by step, highlighting the importance of constructing the proper base. Advanced concepts such as the best orthogonal form and the tensor of inertia for a rigid body are also covered.