SYSEN 5880

Industrial Big Data Analytics and Machine Learning

Course Description

Course information provided by the 2023-2024 Catalog.

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.

Permission Note Enrollment limited to: Systems Engineering distance learning students.

When Offered Spring.

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