Stochastic Processes

1 Course Unit

An introduction to Stochastic Processes. The primary focus is on Markov Chains, Martingales and Gaussian Processes. We will discuss many interesting applications from physics to economics. Topics may include: simulations of path functions, game theory and linear programming, stochastic optimization, Brownian Motion and Black-Scholes. Fall or Spring Mutually Exclusive: STAT 5330 Prerequisites: Students must take (STAT 4300 OR ESE 3010) AND (ENM 2400 OR ESE 2030 OR MATH 2200 OR MATH 2400 OR MATH 2600 OR MATH 3000 OR MATH 3120 OR MATH 3140) before taking STAT 4330. 1 Course Unit