In this lecture we will present basis theoretical and algorithmic properties of Monte Carlo methods. In particular, their convergence properties and implementational simplicity will be highlighted. There are a variety of Monte Carlo methods but we will focus on two, namely, Monte Carlo integration and Markov Chain Monte Carlo. Prior knowledge of Monte Carlo methods will not be assumed.