CH E 358A - Process Data Analytics and Machine Learning

1.5 units (fi 8)(EITH/SP/SU, 3-0-4)

Faculty of Engineering

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.

No syllabi