Undergraduate Catalog

CHEG 213 Experimental Design

This course develops the ability to design experiments, analyze and interpret data, and make engineering decisions using statistical and artificial intelligence-driven tools. The course describes random variables and probability distributions, followed by regression and design of experiments. It integrates modern data analytics and introductory AI techniques, including machine learning models for regression and classification, model validation, and data-driven optimization of engineering systems.

Credits

3

Prerequisite

MATH 231

Distribution

(3,0,3)

Offered

Fall Spring Summer