Summer Term 2024 (1880)
CH E 358B - Process Data Analysis
1.5 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 least squares regression, analysis of variance, propagation of error, and design of experiments. Prerequisites: CH E 351 and STAT 235. Corequisites: CH E 314 and 345.
LECTURE C1 (40203)
2024-07-01 - 2024-08-02
TR 11:00 - 12:20
Fall Term 2024 (1890)
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.
LECTURE A1 (46596)
2024-09-03 - 2024-12-09
TR 12:30 - 13:50