Stochastic Systems Analysis and Simulation

Catalog description

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.