2020 Courses

  • Summer Session 2020 courses will be added throughout the winter.

Course description

A rigorous foundation in theory combined with the methods for modeling, analyzing, and controlling randomness in engineering problems. Probabilistic ideas are used to construct models for engineering problems, and statistical methods are used to test and estimate parameters for these models. Specific topics include random variables, probability distributions, density functions, expectation and variance, multidimensional random variables, and important distributions including normal, Poisson, exponential, hypothesis testing, confidence intervals, and point estimation using maximum likelihood and the method of moments.

Prerequisites

ENGRD 2700 or equivalent.

Classes

No upcoming classes were found.

Previously offered classes

The next offering of this course is undetermined at this time.