The course covers the collection of advanced techniques used in practice to analyze huge datasets, including propensity score matching, taxonomic induction, artificial intelligence, neural networks, fuzzy logic and rough sets, forecasting, association rules, Bayesian classification, visualization and regressions, text mining, natural language processing (NLP), the future of big data, data mining, advanced analytics, and data warehouses. Position Description: The Department of Health Management and Systems Sciences is searching for a part-time temporary lecturer to teach PHMS-642 Data Mining II (Online, 3 credit hours) in Spring 2027.