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 A1
(50496) |
30 |
2026-09-01 - 2026-12-08 (TR)
12:30 - 13:50
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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 D11
(50497) |
15 |
2026-09-01 - 2026-12-08 (M)
14:00 - 17:50
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Co-Instructor: Dave Sharp
Co-Instructor: Artin Afacan
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LAB D41
(50505) |
15 |
2026-09-01 - 2026-12-08 (R)
14:00 - 17:50
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Co-Instructor: Dave Sharp
Co-Instructor: Artin Afacan
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| Section | Capacity | Class times | Login to view Locations |
|---|---|---|---|
|
LECTURE B1
(76438) |
80 |
2027-01-04 - 2027-04-09 (TR)
12:30 - 13:50
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Primary Instructor: Joe Mmbaga
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| Section | Capacity | Class times | Login to view Locations |
|---|---|---|---|
|
LAB H31
(76439) |
80 |
2027-01-04 - 2027-04-09 (W)
14:00 - 17:50
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Co-Instructor: Dave Sharp
Co-Instructor: Artin Afacan
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