Description:
This course, presented by Massachusetts Institute of Technology, 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, probability distributions, Markov processes, limit theorems, elements of statistical inference. This course has a complete set of lecture tools, and also assignments as learning aids.

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