There are currently no scheduled offerings of this course. For more information on when this course may be offered in the future please contact the Registrar's Office.
CH E 358A - Process Data Analytics and Machine Learning
Statistical analysis of process data from chemical process plants and course laboratory experiments. Topics covered include linear and nonlinear regression, dimensionality reduction, classification, deep learning, and design of experiments. Prerequisites: CH E 351 and STAT 235. Corequisites: CH E 314 and CH E 345.