Math 380 (Stochastic Processes)

1. A review of probability theory and applications in insurance
2. A review on Random Variables and their distributions with applications in insurance
3. Conditional Probability and Conditional Expectation
4.  Discrete-time Martingales 
5. Discrete-time  Markov Chains
6. The Exponential Distribution and the Poisson Process
7. Continuous-time processes: Brownian motions and related processes