This is a first course in prescriptive analytics for aiding decision making in management. Primary emphasis is upon development of the concepts and criteria used in making decisions and the use of the model-building approach. Students will learn various management science modeling techniques such as optimization, decision-making under risk and uncertainty, and computer simulation, including their structure, solution characteristics, applicability, and limitations. Examples will be drawn from a wide variety of business decisions including strategy, operations, marketing, finance, and government policy. The material is approached from a managerial rather than technical perspective, with a focus on the application of decision analytics, and the interpretation of model outcomes for guiding management action. Spreadsheet model building is emphasized throughout the course. Enrollment Requirements: Prerequisite: STA 2000 or equivalent and the BBA mathematics requirement.STUDENTS RECEIVING CREDIT for MGT 3500 WILL NOT RECEIVE CREDIT for OPR 3450.
Fall 2019, Spring 2019, Fall 2018, Spring 2018, Fall 2017