CHEME 6880

CHEME 6880

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.

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.

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Combined with: SYSEN 6880

  • 4 Credits GradeNoAud

  • 11539 CHEME 6880   LEC 001

    • MW Online Meeting
    • Feb 8 - May 14, 2021
    • You, F

  • Instruction Mode: Online
    SysEn 6880 is limited to PhD & MS students