SYSEN 5880

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SYSEN 5880

Course information provided by the Courses of Study 2023-2024.

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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 4 Credits GradeNoAud

  •  9311 SYSEN 5880   LEC 001

    • MW Online Meeting
    • Jan 22 - May 7, 2024
    • You, F

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

  •  9973 SYSEN 5880   DIS 201

    • F Online Meeting
    • Jan 22 - May 7, 2024
    • You, F

  • Instruction Mode: Online