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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
dc.contributor.author Tsitsiklis, John
dc.contributor.author Médard, Muriel
dc.coverage.temporal Spring 2005
dc.date.accessioned 2012-05-17T07:34:27Z
dc.date.available 2012-05-17T07:34:27Z
dc.date.issued 2005-06
dc.identifier 6.041-Spring2005
dc.identifier.other 6.041
dc.identifier.other 6.431
dc.identifier.other 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
dc.language.iso en-US
dc.relation.isbasedon http://hdl.handle.net/1721.1/35860
dc.rights 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
dc.subject probabilistic systems en
dc.subject probabilistic systems analysis en
dc.subject applied probability en
dc.subject uncertainty en
dc.subject uncertainty modeling en
dc.subject uncertainty quantification en
dc.subject analysis of uncertainty en
dc.subject uncertainty analysis en
dc.subject sample space en
dc.subject random variables en
dc.subject transform techniques en
dc.subject simple random processes en
dc.subject probability distribution en
dc.subject Markov process en
dc.subject limit theorem en
dc.subject statistical inference en
dc.subject 6.041 en
dc.subject 6.431 en
dc.title 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability, Spring 2005 en
dc.title.alternative Probabilistic Systems Analysis and Applied Probability en
dc.audience.educationlevel Undergraduate
dc.audience.educationlevel Graduate
dc.subject.cip 270502 en
dc.subject.cip Mathematical Statistics and Probability en
dc.date.updated 2012-05-17T07:34:28Z


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