Random Processes for Engineers

3 credits

Review of probability, convergence of a sequence of random variables and limit theorem; definition and classifications of random processes, Poisson and Gaussian processes; spectral representation of random processes and time series; Markov chains, hidden Markov models and applications; filtering and prediction of random processes; introduction to queueing theory.