This lecture covers the multivariate normal distribution, including the definition, properties, and applications. It explains how to find the mean vector and covariance matrix, the moment-generating function, and the characteristic function. The lecture also delves into the Cartesian product of sets, combinatorics, and linear combinations of normal variables.