Artin Afacan
Spring Term 2026 (1950)
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.
LAB D21 (30185)
2026-05-04 - 2026-06-30
T 13:00 - 16:50
Summer Term 2026 (1960)
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.
LAB D21 (40115)
2026-07-01 - 2026-07-31
T 13:00 - 16:50