SYSEN 5880

Last Updated

  • Schedule of Classes - June 25, 2020 7:14PM EDT
  • Course Catalog - June 25, 2020 7:15PM EDT

SYSEN 5880
Industrial Big Data Analytics and Machine Learning

Course information provided by the 2019-2020 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.


Prerequisites/Corequisites Prerequisite: CEE 3040/CHEME 5740/MATH 4710/ORIE 3500 or equivalent, CHEME 6800/SYSEN 6800 or SYSEN 5800 or ORIE 5380.

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

When Offered Spring.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session. 

  • 4 Credits Opt NoAud

  • 12620 SYSEN 5880   LEC 001

  •  
    • Jan 21 - May 5, 2020

    • You, F

  • Instruction Mode: Distance Learning-Asynchronous

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