ESE 5200
Probability and Stochastic Processes
This course covers a review of probability theory; models for random signals and noise; calculus of random processes; noise in linear and nonlinear systems; representation of random signals by sampling and orthonormal expansions; and Poisson, Gaussian, and Markov processes as models for engineering problems.
Instructors
Reviews
Very nice and kind professor and very High Score! A+!
12/10/2024
His lectures are not easy to follow, but he is always willing to help and guide you through the problem after class.
2/25/2023
Good Luck. The lecture notes are written as if you're on year 3 of your dissertation. Unless you dream of dealing with heavy heavy notation with little practicality along with homework that isn't applicable to what is going on in the class, then you're in for a treat.
10/13/2020
Vladimir is the professor to take if you care more about getting good grades than learning new things. His lectures are confusing, and his thick accent doesn't help. But partial credit is extremely generous, and his typed lecture notes are huge. You can often find him in his office, but getting help at office hours is usually only halfway helpful.
1/14/2019
He really wants students to exceed in his class, and makes a strong commitment to help you if you have difficulty understanding content. His accent can him a little tough to understand at times, but he provides clear written notes to supplement lecture.
4/27/2017
Excellent introduction to stochastic processes that review some probability theory. I highly recommend it to people interested in those subjects.
5/3/2012