- Schedule of Classes - April 9, 2021 7:14PM EDT
- Course Catalog - April 9, 2021 7:15PM EDT
Course information provided by the Courses of Study 2020-2021.
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.
Credits and Grading Basis
4 Credits GradeNoAud(Letter grades only (no audit))
Class Number & Section Details
- TBA Online Meeting
- Feb 8 - May 14, 2021
Instruction Mode: Distance Learning-Asynchronous
Enrollment limited to: Systems Engineering distance learning (off-campus) students only.
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