University of Calgary
ENCH 561 - Machine Learning for Energy Systems - Fall 2024
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.
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, Chemical Engineering 307 or 407.
Antirequisite(s)
- Credit for Chemical Engineering 561 and Petroleum Engineering 519.11 will not be allowed.
Sections
LEC 1 MWF 12:00 - 12:50 LAB 1 F 13:00 - 13:50
Powered by UNITIS. More features.