SYSEN 6880

Last Updated

  • Schedule of Classes - May 15, 2019 12:56PM EDT
  • Course Catalog - March 4, 2019 1:00PM EST

SYSEN 6880
Industrial Big Data Analytics and Machine Learning

Course information provided by the 2018-2019 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: Basic probability (CEE 3040/MATH 4710/ORIE 3500 or equivalent) and optimization (CHEME 6800/SYSEN 6800, ORIE 3310/ORIE 5310, or ORIE 5380).

When Offered Spring.

View Enrollment Information

Syllabi: none

  •   Regular Academic Session.  Combined with: CHEME 6880, SYSEN 5880

  • 4 Credits GradeNoAud

  • 12641 SYSEN 6880   LEC 001

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  • Instruction Mode: In Person

    Enrollment limited to PhD& MS students.