Lecture
This lecture covers the concepts of norm, dot product, and orthogonality in vector spaces. It starts with defining the norm of a vector and the dot product, then moves on to finding the orthogonal complement to a vector subspace. The lecture also explores the distance between vectors, properties of dot products, and the Cauchy-Schwarz inequality.