Probability and Statistics for Electrical and Computer Engineering

Catalog description

Application of the basic principles of Probability and Statistics to areas of Electrical and Computer Engineering involving uncertainty and randomness in Signals and Systems. Principles include discrete and continuous random variables and their distributions, moments, and characteristic functions; empirical distribution functions; parameter estimation; confidence limits; linear regression; hypothesis testing; and statistical approaches to engineering decisions. Topics for consideration are taken from Communications, Power Systems, Signal Processing, Image Processing, and Control Systems and are used to both develop and illustrate principles and their application. Prerequisites: MATH 285 with a minimum grade of C.