Applied Analytics for Decision Making.

Catalog description

This course examines concepts and methods central to analytics and decision making systems. The focus is on the application of management science and artificial intelligence techniques for prescriptive and predictive analytics. Case studies of existing systems are used to reinforce concepts discussed in class. A major component of the course is a project entailing the design, implementation, and evaluation of prototype systems for real world applications. Prerequisite: Graduate or blended students in the School of Engineering and Computer Science.