Predictive Modeling

3.00 credit hours

Predictive modeling is a set of procedures and tools for hypothesizing, testing and validating a model to explain and predict the probability or likelihood of a future event, or outcome. A wide range of procedures and tools are available for predictable modeling, and this course will cover a select set of topics with wide applicability. Through applications and case studies involving real-life data, the course will emphasize managerial problem solving. To build models is to capture managerial problem formulation, and to test/validate them is to confront managerial hypotheses with empirical observations. Problem solving is a creative act rooted in validated evidence of managerial hypotheses testing.

No Syllabus Available

Kamlesh Mathur (Spring 2017)

NOTE: Instructors and offerings vary by semester. Visit the Schedule of Classes for the most up-to-date information.