University at Buffalo 3 credits Management Quantitative Method
This course introduces students to analytical frameworks and modeling techniques used to support complex managerial decision making. Topics include linear and discrete optimization, decision analysis and scenario planning, simulation modeling, and nonlinear optimization. Students will learn to structure business problems, evaluate alternative strategies under uncertainty, and apply tools such as Solver and simulation platforms to assess trade-offs. The emphasis is on interpreting the results and effectively communicating model-driven insights to stakeholders. The course develops both technical fluency and strategic judgment in applying data and models to real-world organizational challenges. Students will develop model-formulation skills and understand the assumptions and limitations of these models. The course focuses on practical applications (operations, marketing, finance, and machine learning) and essential algorithmic details. The goal is to help students become intelligent consumers of analytical models and adopt a data-driven approach to business decisions.
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