Catalog Course Description

Probability, joint, conditional. Statistical independence. Random variables, discrete and continuous. Distribution, density functions. Operations on a random variable, expectation, moments, characteristic functions. Law of Large Numbers. Central Limit Theorem. Random processes, wide-sense stationarity. Spectral characteristics of random processes. Gaussian, Poisson, and Markov processes. Queueing, Birth-Death processes.

Spring Term

8 hours of Outside Work Hours per week and 1 hours of The exchange of opinions or questions on course material per week and 3 hours of Instructor presentation of course materials per week.

Fall Term

8 hours of Outside Work Hours per week and 1 hours of The exchange of opinions or questions on course material per week and 3 hours of Instructor presentation of course materials per week.