SYSEN 6880

SYSEN 6880

Course information provided by the 2024-2025 Catalog. Courses of Study 2024-2025 is scheduled to publish mid-June.

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.


Prerequisites/Corequisites Prerequisite: CEE 3040 or MATH 4710 or ORIE 3500 or equivalent, CHEME 6800/SYSEN 6800 or ORIE 3310 or ORIE 5310 or ORIE 5380.

Last 4 Terms Offered (None)

When Offered Spring.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CHEME 6880SYSEN 6880

  • 4 Credits GradeNoAud

  •  7259 SYSEN 6880   LEC 001

    • MW Online Meeting
    • Jan 21 - May 6, 2025
    • You, F

  • Instruction Mode: In Person

  •  7734 SYSEN 6880   DIS 201

    • F
    • Jan 21 - May 6, 2025
    • You, F

  • Instruction Mode: In Person

  •  9655 SYSEN 6880   DIS 202

  • Instruction Mode: Distance Learning-Asynchronous

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: CHEME 6880SYSEN 6880

  • 4 Credits GradeNoAud

  •  9654 SYSEN 6880   LEC 002

  • Instruction Mode: Distance Learning-Asynchronous

  • 10753 SYSEN 6880   DIS 203

    • F
    • Jan 21 - May 6, 2025
    • You, F

  • Instruction Mode: In Person

  • 10754 SYSEN 6880   DIS 204

  • Instruction Mode: Distance Learning-Asynchronous