Introduction to Quantitative Modeling

This course focuses on modeling as aids to managerial decision making. Students enhance their analytical thinking skills by developing quantitative representations of real-world problems. The models are analyzed (with emphasis on what-if questions) and modified, resulting in a better understanding of the underlying problems. Deterministic optimization and probabilistic modeling methods studied include linear and integer programming, networks, queuing theory, simulation and decision analysis. Case studies expose the student to a wide variety of applications and management planning issues in the areas of marketing, economics, finance, accounting, production planning, personnel issues, and systems analysis.

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