6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability

As taught in: 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.)

Level:

Undergraduate / Graduate

Instructors:

Prof. Munther Dahleh

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.

Technical Requirements

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