University of Calgary

ENEL 645 - Data Mining & Machine Learning - Winter 2023

Types of data mining: classification, clustering, association, prediction. Processes: data preparation, model building. Techniques: decision tree, neural network, evolutionary computing, Bayesian network. Applications: multi-media, text and web mining.
This course may not be repeated for credit.

Hours

  • H(3-0)

Prerequisite(s)

  • Admission to Electrical and Computer Engineering graduate program or Energy and Environment specialization or Environmental Engineering specialization, or MEng Environmental or consent of Department.

Antirequisite(s)

  • Credit for Electrical Engineering 645 and 619.51 will not be allowed. Also known as: (Environmental Engineering 645)

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