Search all MERLOT
Click here to go to your profile
Select to go to your workspace
Click here to go to your Dashboard Report
Click here to go to your Content Builder
Click here to log out
Search Terms
Enter username
Enter password
Please give at least one keyword of at least three characters for the search to work with. The more keywords you give, the better the search will work for you.
select OK to launch help window
cancel help

MERLOT II




        

Search > Material Results >

6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability

        

6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability

Logo for 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability
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.
Material Type: Online Course
Date Added to MERLOT: August 10, 2012
Date Modified in MERLOT: August 10, 2012
Author:
Submitter: Sorel Reisman

Details

  • Editor Review avg: 3 rating
  • User Rating (not rated)
  • Comments (none)
  • Learning Exercises (none)
  • Personal Collections (none)
  • Accessibility Info (none)

About

Primary Audience:
Mobile Compatibility: Not specified at this time
Language: English
Cost Involved: no
Source Code Available: unsure
Accessiblity Information Available: unsure
Creative Commons: Creative Commons License
This work is licensed under a Attribution-NonCommercial-ShareAlike 3.0 United States

Connections



QR Code for this Page

Browse in Categories

Discussion

Discussion for 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability

Log in to participate in the discussions or Register if you are not already a MERLOT member.

Return to Top of Page