Prescriptive analytics, one of the most important pillars of analytics, is a scientific approach to aid managerial decisionmaking. The underlying tools and techniques are regularly used by major corporations to prescribe the best action to be
implemented, which often results in significant savings. This course will discuss the most popular prescriptive analytics
techniques such (linear/nonlinear) optimization, optimization of nonsmooth models, and monte carlo simulation, which
will be used to logically model real-world applications from various functional areas of business. These logical models
will be converted into a computer model, which will then be solved and analyzed using Analytic Solver within a
spreadsheet environment.
If you need an outline from an
earlier
semester, please use this form to contact us. Outlines for current and
future
courses will be posted here on the website as they become available.
