1. Introduction and review of probability 2. Poisson processes 3. Gaussian random vectors and processes 4. Finite-state Markov chains 5. Renewal processes 6. Countable-state Markov chains 7. Markov processes with countable state spaces 8. Detection, decisions, and hypothesis testing 9. Random walks, large deviations, and martingales 10. Estimation