SYSEN 5880

SYSEN 5880

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.

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Enrollment Information
Syllabi: none
  •   Regular Academic Session. 

  • 4 Credits GradeNoAud

  • 11673SYSEN 5880  LEC 001

  • Instruction Mode: Distance Learning-Asynchronous
    Enrollment limited to: Systems Engineering distance learning (off-campus) students only.