15.060 Data, Models, and Decisions, Fall 2007
Author(s)Gamarnik, David; Freund, Robert; Schulz, Andreas
Data, Models, and Decisions
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This course is designed to introduce first-year MBA students to the fundamental quantitative techniques of using data to make informed management decisions. In particular, the course focuses on various ways of modeling, or thinking structurally about, decision problems in order to enhance decision-making skills. Topics include decision analysis, probability, random variables, statistical estimation, regression, simulation, linear optimization, as well as nonlinear and discrete optimization. Management cases are used extensively to illustrate the practical use of modeling tools to improve the management practice.
decision analysis, discrete probability distributions, continuous probability distributions, normal probability distribution, statistical sampling, regression models, linear optimization, nonlinear optimization, discrete optimization