MATH 310
Random Processes and Applications
Theory and applications of stochastic processes. Limit theorems, introduction to random walks, Markov chains, Poisson processes, birth and death processes, and Brownian motion. Applications to financial mathematics, biology, business and engineering. Prerequisites: MATH 263 or MATH 309 or ( MATH 231 and ( MATH 205 or MATH 241 ), ) Attribute/Distribution: Q
Sources
- Course catalogue ↗2026-2027