This lecture covers the definition of multivariate Gaussian distribution, including the existence of a mean vector and a symmetric matrix, the moment generating function, linear combinations of Gaussian variables, and the properties of the distribution. The lecture also discusses the density function and the combination of Gaussian variables in different scenarios.