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University at Buffalo 3 credits Management Operations Analysis
This course examines the application of data analytic techniques to operations management problems. Selected data analytic techniques will be introduced to help make operational decisions in certain and uncertain business environments, such as linear programming, non-linear programming, integer programming, goal programming, network optimization, decision trees, and simulation. The usefulness of these analytic techniques will be illustrated through examples drawn from functional areas of operations management, such as production planning, capacity constraints, deterministic and stochastic inventory management, transportation, global supply chain network design, and production scheduling. Pre-Requisites: MGQ 301 and MGO 302.
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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
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