My university is offering stochastic processes next semester, here is the course description:
Review of distribution theory. Introduction to stochastic processes, Markov chains and Markov processes, counting, and Poisson and Gaussian processes. Applications to queuing theory.
I'm torn between this course and analysis 2. I'm not sure what stochastic processes deals with, and the description doesn't help. Can anyone explain what you do in such a course? Is it proofs-based? Also, would you recommend this over Analysis 2?