MIT OpenCourseWare
  • OCW home
  • Course List
  • about OCW
  • Help
  • Feedback
  • Support MIT OCW

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.

 

Staff

Instructor:
Prof. Munther Dahleh

Course Meeting Times

Lectures:
Two sessions / week
1 hour / session

Recitations:
Two sessions / week
1 hour / session

Tutorials:
One session / week
1 hour / session

Level

Undergraduate / Graduate

Additional Features

Download this course

Feedback

Send feedback about OCW or this course.