SYSEN 5880

SYSEN 5880

Course information provided by the 2022-2023 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.

View Enrollment Information

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

  • 4 Credits GradeNoAud

  •  9673 SYSEN 5880   LEC 001

    • MW Online Meeting
    • Jan 23 - May 9, 2023
    • You, F

  • Instruction Mode: Distance Learning-Asynchronous

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

  • 19612 SYSEN 5880   DIS 201

    • F Online Meeting
    • Jan 23 - May 9, 2023
    • You, F

  • Instruction Mode: Distance Learning-Asynchronous