The University of Texas at Austin 3 credits Business Analytics
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. Pre/Corequisites: Upper-division standing; Business Analytics 304 or Management Information Systems 304; Statistics 235 or 235H; and Decision Sciences 235 or 235H. Restrictions: Restricted to students in the McCombs School of Business
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