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6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability, Spring 2006

Dice with assorted number of faces.

Why flip a coin? Try these instead to increase the number of outcomes. (Image courtesy of Idiolector.)

Highlights of this Course

This course features various probability-related simulations in the tools section. A complete set of lecture notes and assignments with solutions are also available.

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.

Technical Requirements

Special software is required to use some of the files in this course: .java, .m, .wmv, and .zip.



Prof. Munther Dahleh

Course Meeting Times

Two sessions / week
1 hour / session

Two sessions / week
1 hour / session

One session / week
1 hour / session


Undergraduate / Graduate

Additional Features

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