6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability, Spring 2005
Author(s)
Bertsekas, Dimitri; Tsitsiklis, John; Médard, Muriel
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Alternative title
Probabilistic Systems Analysis and Applied Probability
Metadata
Show full item recordAbstract
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.
Date issued
2005-06Other identifiers
6.041-Spring2005
local: 6.041
local: 6.431
local: IMSCP-MD5-844c8b4a58247e68aef30137b0b67e14
Keywords
probabilistic systems, probabilistic systems analysis, applied probability, uncertainty, uncertainty modeling, uncertainty quantification, analysis of uncertainty, uncertainty analysis, sample space, random variables, transform techniques, simple random processes, probability distribution, Markov process, limit theorem, statistical inference, 6.041, 6.431