BAX 358 BAX 358. Optimization Methods and Decision Making. 3 Hours.
Restricted to students in the McCombs School of Business Examine decision-making in deterministic settings. Discuss optimization and planning in various contexts including portfolio selection, production planning, marketing allocations, revenue management and pricing. Explore linear, quadratic, nonlinear, and integer programming. Utilize Python for hands-on work. Three lecture hours a week for one semester. Prerequisite: Upper-division standing; Business Analytics 304, 305, or Management Information Systems 304; and one of the following: Statistics 235 and Decision Sciences 235, or Statistics 371G, or Statistics 371H.
Businesses are generating and collecting a massive amount of data from both business transactions and user generated data. Students who graduate with a degree in Business Analytics will be prepared to leverage statistical analysis, data mining, natural language processing, optimization, and machine learning to provide practical recommendations to improve business results in a wide variety of areas, including finance, marketing and supply chain management. They will also understand the ethical issues surrounding the design, development, and use of these technologies.