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6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability, Spring 2005

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dc.contributor.author Bertsekas, Dimitri en_US
dc.contributor.author Tsitsiklis, John en_US
dc.contributor.author Médard, Muriel en_US
dc.coverage.temporal Spring 2005 en_US
dc.date.issued 2005-06
dc.identifier 6.041-Spring2005
dc.identifier local: 6.041
dc.identifier local: 6.431
dc.identifier local: IMSCP-MD5-844c8b4a58247e68aef30137b0b67e14
dc.identifier.uri http://hdl.handle.net/1721.1/70858
dc.description.abstract This course is offered both to undergraduates (6.041) and graduates (6.431), but the assignments differ. 6.041/6.431 introduces students to the modeling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple random processes and their probability distributions, Markov processes, limit theorems, and elements of statistical inference. en_US
dc.language en-US en_US
dc.relation en_US
dc.rights.uri Usage Restrictions: This site (c) Massachusetts Institute of Technology 2012. 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") unless otherwise noted. 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 probabilistic systems en_US
dc.subject probabilistic systems analysis en_US
dc.subject applied probability en_US
dc.subject uncertainty en_US
dc.subject uncertainty modeling en_US
dc.subject uncertainty quantification en_US
dc.subject analysis of uncertainty en_US
dc.subject uncertainty analysis en_US
dc.subject sample space en_US
dc.subject random variables en_US
dc.subject transform techniques en_US
dc.subject simple random processes en_US
dc.subject probability distribution en_US
dc.subject Markov process en_US
dc.subject limit theorem en_US
dc.subject statistical inference en_US
dc.subject 6.041 en_US
dc.subject 6.431 en_US
dc.title 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability, Spring 2005 en_US
dc.title.alternative Probabilistic Systems Analysis and Applied Probability en_US


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