This lecture covers Monte Carlo techniques for integration, importance sampling, ergodicity, equilibration, and Metropolis acceptance. It explains how to generate points distributed according to a target distribution, the importance of detailed balance, and the challenges of acceptance/rejection in Metropolis moves.