ENGR 315 - Probability, Statistics, and Random Processes

3 Credit(s)

This course is designed to give engineering students an introduction to the essentials of probability, statistics, and random processes. The engineering application of these concepts is reinforced by example. Topics include conditional probability, Bayes’ theorem, continuous and discrete random variables and their distribution functions, point and interval estimation, hypothesis testing, ensemble and time averages, stationarity, and ergodicity.
Prerequisite(s): MATH 133 or MATH 142.