Part-Time Lecturer - School of Public Health (Health Management & Systems Sciences)

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.

• Doctoral degree in Mathematics, Statistics, Biostatistics, Computer Science, Economics, Health Management and Policy, or a related field of study.

• Prior teaching experience preferred.

This is the second course of a two-course graduate-level course on data mining/big data analytics. It focuses on the practical implementation and interpretation of the most commonly used techniques for analyzing very large datasets. 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.

PHMS-641 Data Mining I 

Course Schedule: 

Spring semester 2027, January 6 - April 29, 2027

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