Dave Sharp

Faculty Service Officer, Faculty of Engineering - Chemical and Materials Engineering Dept
Directory

Summer Term 2025 (1920)

CH E 358B - Process Data Analytics and Machine Learning

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 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 (40125)

2025-07-01 - 2025-08-01
T 13:00 - 16:50

Fall Term 2025 (1930)

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.

LAB D11 (50530)

2025-09-02 - 2025-12-08
M 14:00 - 17:50

LAB D41 (50538)

2025-09-02 - 2025-12-08
R 14:00 - 17:50

Winter Term 2026 (1940)

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.

LAB H31 (81703)

2026-01-05 - 2026-04-10
W 14:00 - 17:50