Description: Essential probabilistic techniques underlying discrete and continuous stochastic models and their applications. Markov processes in discrete and continuous time, diffusion processes, Ito’s lemma, stochastic differential equations, and martingales. Applications may include models from biology and population genetics, physics, engineering, chemistry, finance, economics, and statistics.