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.
| Section | Capacity | Class times | Login to view Locations |
|---|---|---|---|
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LECTURE C1
(40114) |
110 |
2026-07-01 - 2026-07-31 (TR)
11:00 - 12:20
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Primary Instructor: Samy Mukadi
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| Section | Capacity | Class times | Login to view Locations |
|---|---|---|---|
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LAB D21
(40115) |
110 |
2026-07-01 - 2026-07-31 (T)
13:00 - 16:50
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Co-Instructor: Dave Sharp
Co-Instructor: Artin Afacan
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