Probabilistic Methods In Electrical And Computer Engineering

Catalog description

An introductory treatment including probability of events, discrete and continuous random variables, multiple random variables, sums of random variables and long-term averages, and elementary random processes. Applications involving uniform, Gaussian, exponential, geometric and related random variables. Introduction to parameter estimation and hypothesis testing. Discussion of wide-sense stationary random processes, including correlation functions, spectral densities and the response of linear time invariant systems. Course examples are drawn from signal processing, wireless communications, system reliability, and data science. Typically offered Fall Spring Summer. Prerequisite(s): ECE 20200 FOR LEVEL UG WITH MIN. GRADE OF D- OR ME 32500 FOR LEVEL UG WITH MIN. GRADE OF D- View Class Schedule