SYSEN 5880
Last Updated
- Schedule of Classes - February 7, 2022 11:35AM EST
- Course Catalog - January 18, 2022 1:31PM EST
Classes
SYSEN 5880
Course Description
Course information provided by the Courses of Study 2021-2022.
This course covers the basic concepts, models and algorithms of Bayesian learning, classification, regression, dimension reduction, clustering, density estimation, artificial neural networks, deep learning, and reinforcement learning. Application and methodology topics include process monitoring, fault diagnosis, preventive maintenance, root cause analysis, soft sensing, quality control, machine learning for process optimization, data-driven decision making under uncertainty, missing data imputation, data de-noising, and anomaly/outlier detection.
When Offered Spring.
Permission Note Enrollment limited to: Systems Engineering distance learning students.
Prerequisites/Corequisites Prerequisite: CHEME 6800/SYSEN 6800 or SYSEN 5800.
Regular Academic Session.
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Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
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