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This is an archived course. A more recent version may be available at ocw.mit.edu.
This course uses tools such as decision trees to draw conclusions from data. (Figure by MIT OpenCourseWare, adapted from the Data, Models, and Decisions textbook.)
Prof. David Gamarnik
Prof. Robert Freund
Prof. Andreas Schulz
15.060
Fall 2007
Graduate
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.
David Gamarnik, Robert Freund, and Andreas Schulz. 15.060 Data, Models, and Decisions, Fall 2007. (Massachusetts Institute of Technology: MIT OpenCourseWare), https://ocw.mit.edu (Accessed). License: Creative Commons BY-NC-SA
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