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CHE化工 621 M3M4Mn
This course consists of two parts. The first part gives a broad coverage of modern modeling, Data Science, Machine Learning (ML) methods used for prediction and classification. It also includes Deep Learning Neural Networks for image and time series data modeling. The second part provides a solid foundation of optimal decision making that can be applied to multiple business and engineering disciplines such as planning, profit maximization, business strategy setting, and logistics. Business and engineering applications are cited throughout the course.
MON | TUE | WED | THU | FRI | |
08:00108:50 | |||||
09:00209:50 | |||||
10:10311:00 | |||||
11:10412:00 | |||||
12:10n13:00 | |||||
13:20514:10 | |||||
14:20615:10 | |||||
15:30716:20 | |||||
16:30817:20 | |||||
17:30918:20 | |||||
18:30a19:20 | |||||
19:30b20:20 | |||||
20:30c21:20 |
Average GPA 3.41
Std. Deviation 0.92
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