Data Mining (OREM 5331/7331 | CS 5331/7331) – 3 credits

Introduces data mining techniques (classification, association analysis, and cluster analysis) used in analytics. All material covered is reinforced through hands-on experience using state–of–the art tools to design and execute data mining processes.

Information Engineering (OREM 3309) – 3 credits

Emphasizes working with data, databases, and performing and interpreting descriptive analytics in the context of contemporary, data-rich decision-making environments including various engineering and management applications. Introduces the use of databases (database management systems and SQL) and discusses the functions of practical (e.g., corporate or public) data warehouses while placing a strong emphasis on formal methods of descriptive analytics including data preparation, visualization, and interpretation.

Nonlinear Programming (OREM 8381) – 3 credits

Topics include convexity analysis, nonlinear duality theory, Karush-Kuhn-Tucker conditions, algorithms for quadratic programming, separable programming: gradient and penalty methods.