This course is designed to provide students with a general understanding of the role of big data and business analytics in today's dynamic organizational environment. Graduate students will learn the process of analyzing big data and discovering new information to support management decision making.
This course provides a foundation for the design, implementation, and management of database systems. Students will study both design and implementation issues with an emphasis on database management issues.
This course covers the development, implementation, and utilization of business models for managerial decision making. Discovered patterns, relationships and statistical findings from Data Mining efforts are often used as input in these mathematical models which are implemented in decision support systems. Students will learn techniques for analytical modeling including decision analysis, optimization and simulation.
This course covers the application of advanced predictive analytical techniques to analyze and map non-traditional data such as text and graphics. This course exposes students to model situations where uncertainty is a major factor.