ENPR 300 Probability and Random Processes

This course presents the fundamentals of probability theory and random processes needed by students in the area of communication theory, computer networks, signal/image processing, control theory, and other related disciplines with a solid background in probability and random processes. Topics covered include Overview of Probability Theory, Basics of Random Variables, Probability Mass Function (PMF), Cumulative Distribution Function (CDF), Expectation, mean, variance, Discrete Random Variable Families, Continuous Random Variable Families, Operations on Random Variable, Multiple of Random Variables, Probabilistic Models, limit theory and Random variables in fields of engineering.

Credits

3

Prerequisite

EMTH 150

Offered

semester 2