Course Description
Introduction to analytic methodologies used to improve decision making and predict outcomes. Class examples and exercises will be drawn from real world applications. Relevant software will be utilized.
Athena Title
PREDICTIVE ANALYTIC
Prerequisite
MSIT 7100
Grading System
A - F (Traditional)
Course Objectives
Upon successful completion of the course, the student should: • Understand the conceptual foundations of relevant predictive analytics methodologies. • Be able to access the appropriateness of analytical methods for different applications. • Understand the benefits provided by predictive analytics in managerial decision making. • Have gained hands-on analytical application skills utilizing relevant software. • Be able to properly interpret and communicate methodological results.
Topical Outline
Metric fundamentals Econometric forecasting methods Segmentation, positioning, and targeting Conjoint and choice analysis Decision trees Resource allocation methodologies Simulation and risk analysis
Syllabus