CH E 358 - Process Data Analytics and Machine Learning

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

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.

CH E 663 - Optimal and Model Predictive Control

3 units (fi 6)(EITHER, 3-0-0)

Intended for graduate students who are familiar with basic modern control theory. Solution methods for dynamical systems, stability theory, classical optimal control methods, model predictive control and its computational tools.

CH E 446 - Process Dynamics and Control

3 units (fi 8)(EITHER, 3-1S-3/3)

Introduction to process modeling and transient response analysis; design and analysis of feedback systems; stability analysis; process control applications; process control using digital computers. Prerequisites: CME 265, MATH 201 and 209. Corequisite: CH E 312.