IDS.333 Risk and Decision Analysis
Focuses on design choices and decisions under uncertainty. Topics include identification and description of uncertainties using probability distributions; the calculation of commensurate measures of value, such as expected net present values; Monte Carlo simulation and risk analysis; and the use of decision analysis to explore alternative strategies and identify optimal initial choices. Presents applied analysis of practical examples from a variety of engineering systems using spreadsheet and decision analysis software. Meets with IDS.332 first half of term.
This class has no prerequisites.
IDS.333 will be offered this semester (Fall 2018). It is instructed by R. De Neufville.
This class counts for a total of 6 credits. This is a graduate-level class.
You can find more information at the http://www.google.com/search?&q=MIT+%2B+IDS.333&btnG=Google+Search&inurl=https site.
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