Optimization in Business Analytics

Catalog description

Students will construct and analyze prescriptive models that guide and improve business operations. Emphasis is put on optimization models that capture complex real-life settings as defined by business performance measures, limited resources and/or other requirements, and various decision types. Selected topics include linear, integer, and nonlinear programming, and network analytics. Among others, examples rooted in production management, supply chain, human labor allocation, finance and social network analysis will be covered. Prerequisite: ISA 225 .