Course Description
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.
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As Taught In:  Spring 2006 
Level: 
Undergraduate

Learning Resource Types
theaters
Simulation Videos
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Simulations
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Problem Sets with Solutions
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Exams with Solutions
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Lecture Notes