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Material Detail

6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability

6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability

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.... Show More
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More about this material

Material Type:
Online Course
Date Added to MERLOT:
August 10, 2012
Date Modified in MERLOT:
June 12, 2018
Author:
Submitter:
Sorel Reisman
Primary Audience:
College General Ed, College Lower Division
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
Unknown
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

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