CHEME 6880

Last Updated

  • Schedule of Classes - May 8, 2024 7:33PM EDT
  • Course Catalog - May 8, 2024 7:08PM EDT

CHEME 6880
Industrial Big Data Analytics and Machine Learning

Course information provided by the Courses of Study 2023-2024.

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.  Choose one lecture and one discussion. Combined with: SYSEN 6880, CHEME 6880

  • 4 Credits GradeNoAud

  •  9264 CHEME 6880   LEC 001

  •  

  • Instruction Mode: In Person

  •  9958 CHEME 6880   DIS 201

  •  

  • Instruction Mode: In Person

  • 17768 CHEME 6880   DIS 202

  •  

  • Instruction Mode: Distance Learning-Asynchronous

Syllabi: none

  •   Regular Academic Session.  Choose one lecture and one discussion. Combined with: SYSEN 6880, CHEME 6880

  • 4 Credits GradeNoAud

  • 17767 CHEME 6880   LEC 002

  •  

  • Instruction Mode: Distance Learning-Asynchronous

  • 19373 CHEME 6880   DIS 203

  •  

  • Instruction Mode: In Person

  • 19374 CHEME 6880   DIS 204

  •  

  • Instruction Mode: Distance Learning-Asynchronous