Data Mining

Undergraduate

Introduction to data mining, type of data, data preprocessing, data exploration and visualization, data mining algorithms, model evaluation metrics, classification and prediction, clustering, feature selection and dimensionality reduction, machine learning and data mining, association rule mining, text mining, big data analytics, ethics and privacy in data mining, and real-world case studies. Course Format: Lectures, 3 hours per week Restrictions: open to BEng majors with a minimum 16 overall credits. Prerequisite(s): IENG 3P11