EECE.5490 Optimization Models and Decision Analysis

Description

This course addresses the prototypical theme o how a system or organization can improve its decision-making and develops approaches for both prescriptive and predictive analytics. Whether it is a service or manufacturing entity, a firm should promulgate a mission statement with three evolving parts: strategy, tactics, and operations. For example, a strategic focus is to maximize profit, a tactical plan minimizes cost, and an operations manifesto establishes feasibility. Towards this objective, this course will present introductory and applied concepts on decision-making, optimization and simulation modeling under uncertainty. Case studies will supplement the theoretical concepts and enforce student learning. Background in engineering mathematics and/or permission of instructor. Undergraduate introduction to Probability and Statistics.

Course prerequisites/corequisites are determined by the faculty and approved by the curriculum committees. Students are required to fulfill these requirements prior to enrollment. For courses offered through online or GPS delivery, students are responsible for confirming with the instructor or department that all enrollment requirements have been satisfied before registering.