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.
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LECTURE A1
(46596) |
30 |
2024-09-03 - 2024-12-09 (TR)
12:30 - 13:50
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LAB D11
(46597) |
15 |
2024-09-03 - 2024-12-09 (M)
14:00 - 17:50
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LAB D41
(46605) |
15 |
2024-09-03 - 2024-12-09 (R)
14:00 - 17:50
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LECTURE B1
(71956) |
60 |
2025-01-06 - 2025-04-09 (TR)
12:30 - 13:50
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LAB H31
(71957) |
60 |
2025-01-06 - 2025-04-09 (W)
14:00 - 17:50
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