 Finite Markov chain basic properties
 Classical chains: random walks, birthanddeath chains
 Markov chain Monte Carlo: Metroplis and Galuber dynamics
 Mixing Times: Total Variation distance, coupling, ergodicity
 Random walks on Networks and reversible chains
 Eigenvalues and spectral representation
