Data 468, Math 468/568 - Applied Stochastic Processes - Spring 2022
Course Description
According to
the catalogue:
Applications of Gaussian and Markov processes and renewal theory;
Wiener and Poisson processes, queues. Graduate-level requirements
include more extensive problem sets or advanced projects.
