6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability, Spring 2005
Author(s)Bertsekas, Dimitri; Tsitsiklis, John; Médard, Muriel
Probabilistic Systems Analysis and Applied Probability
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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.
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