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SYSEN 5880 - Industrial Big Data Analytics and Machine Learning

Description
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. Enrollment limited to: Systems Engineering distance learning (off-campus) students only.
Credits
4
Recent Professors
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Recent Semesters
Spring 2020, Spring 2019
Offered
MW
Avg. Sections
1