Data Mining & Machine Learning

3 credits · Graduate Programs

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. Prerequisite(s): Admission to the PhD in Electrical and Computer Engineering; or the MSc in Electrical Engineering. Antirequisite(s): Credit for Electrical Engineering 645 and Electrical Engineering 682, 619.51 (DataMining&KnowledgeDiscovery) or Software Engineering for Engineers 617 will not be allowed. Also known as: (Environmental Engineering 645)