At the end of the course, students are expected to:

• calculate the large time behavior of finite Markov chains and classify their states,
• decide whether a countable Markov chain is recurrent or transient,
• use the optional sampling theorem for martingales to compute expectations,
• understand the basics of Brownian motion in one and several dimensions.