This lecture covers the general concepts of Markov chains, focusing on Markov chains in general spaces, Metropolis-Hastings and Monte Carlo algorithms, transition kernels, irreducibility, and the existence of a unique invariant measure. The lecture also discusses the properties of Markov chains and their applications.