Stochastic Systems Analysis and Simulation

1 Course Unit

This analysis is usually complemented with numerical analysis of experimental outcomes.This class covers topics in probability and random processes, Markov chains, Poisson processes, stationary and Gaussian processes. Besides the theoretical toolbox that we build, we explore applications in communication networks, search engines, deciphering algorithms, molecular biology and more. Fall Prerequisites: Students must take ESE 3010 or STAT 4300 before taking ESE 3030. 1 Course Unit