University of Calgary

ENCH 561 - Machine Learning for Energy Systems - Fall 2022

Applications of Machine Learning, Artificial Intelligence and Optimization in Energy Systems. Review of Statistics, Probability and Data Science Concepts; Supervised and Unsupervised Learning in Python including Regression and Clustering; Data Engineering for Data Filtering and Feature Selection; Optimization. Focus on Application to Problems in the Energy Industry.
This course may not be repeated for credit.

Hours

  • (3-1)

Prerequisite(s)

  • Engineering 319 or Digital Engineering 319; and 3 units from Engineering 407, Digital Engineering 407 or Chemical Engineering 407.

Antirequisite(s)

  • Credit for Chemical Engineering 561 and Petroleum Engineering 519.11 will not be allowed.

Sections

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