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1.010 Uncertainty in Engineering, Fall 2004

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dc.contributor.author Veneziano, Daniele en_US
dc.coverage.temporal Fall 2004 en_US
dc.date.issued 2004-12
dc.identifier 1.010-Fall2004
dc.identifier local: 1.010
dc.identifier local: IMSCP-MD5-f1483b7c9222308d5edb4e457bd1c1a0
dc.identifier.uri http://hdl.handle.net/1721.1/46355
dc.description.abstract This undergraduate class serves as an introduction to probability and statistics, with emphasis on engineering applications. The first segment discusses events and their probability, Bayes' Theorem, discrete and continuous random variables and vectors, univariate and multivariate distributions, Bernoulli trials and Poisson point processes, and full-distribution uncertainty propagation and conditional analysis. The second segment deals with second-moment representation of uncertainty and second-moment uncertainty propagation and conditional analysis. The final segment covers random sampling, point and interval estimation, hypothesis testing, and linear regression. Many of the concepts covered in class are illustrated with real-world examples from various areas of engineering. en_US
dc.language en-US en_US
dc.rights.uri Usage Restrictions: This site (c) Massachusetts Institute of Technology 2003. Content within individual courses is (c) by the individual authors unless otherwise noted. The Massachusetts Institute of Technology is providing this Work (as defined below) under the terms of this Creative Commons public license ("CCPL" or "license"). The Work is protected by copyright and/or other applicable law. Any use of the work other than as authorized under this license is prohibited. By exercising any of the rights to the Work provided here, You (as defined below) accept and agree to be bound by the terms of this license. The Licensor, the Massachusetts Institute of Technology, grants You the rights contained here in consideration of Your acceptance of such terms and conditions. en_US
dc.subject statistics en_US
dc.subject decision analysis en_US
dc.subject random variables and vectors en_US
dc.subject uncertainty propagation en_US
dc.subject conditional distributions en_US
dc.subject second-moment analysis en_US
dc.subject system reliability en_US
dc.subject Bayesian analysis and risk-based decision en_US
dc.subject estimation of distribution parameters en_US
dc.subject hypothesis testing en_US
dc.subject simple and multiple linear regressions en_US
dc.subject Poisson and Markov processes en_US
dc.title 1.010 Uncertainty in Engineering, Fall 2004 en_US
dc.title.alternative Uncertainty in Engineering en_US


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