CH E 345 - Chemical Reactor Analysis I

3.5 units (fi 8)(EITH/SP/SU, 3-1S-0)

Kinetics of chemical reactions and design of ideal chemical reactors. Prerequisites: CME 265, CH E 343 and CH E 374. Corequisite: CH E 314.

CH E 445 - Chemical Reactor Analysis II

3.5 units (fi 8)(EITHER, 3-1S-0)

Analysis and design of non-ideal chemical reactors for industrial product synthesis. Prerequisites: CH E 314, 318 and 345.

CH E 358A - Process Data Analytics and Machine Learning

0 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 358B - Process Data Analytics and Machine Learning

5 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.