Probabilistic Systems Analysis and Applied Probability

Dice with assorted number of faces.

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


MIT Course Number

6.041 / 6.431

As Taught In

Spring 2006



Cite This Course

Course Features

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.

MITx Versions

MITx offers a free version of this subject on edX. Please register to get started:

OCW Scholar version: Question_svt logo

Other OCW Versions

OCW has published multiple versions of this subject. Question_OVT logo

Dahleh, Munther. 6.041 Probabilistic Systems Analysis and Applied Probability, Spring 2006. (MIT OpenCourseWare: Massachusetts Institute of Technology), (Accessed). License: Creative Commons BY-NC-SA

For more information about using these materials and the Creative Commons license, see our Terms of Use.