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.)

Instructor(s)

MIT Course Number

6.041 / 6.431

As Taught In

Spring 2006

Level

Undergraduate

Cite This Course

Course Description

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.

Other Versions

Related Content

Munther Dahleh. 6.041 Probabilistic Systems Analysis and Applied Probability. Spring 2006. Massachusetts Institute of Technology: MIT OpenCourseWare, https://ocw.mit.edu. License: Creative Commons BY-NC-SA.


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