Probability Models and Axioms 
Probability Models and Axioms
by MIT / John Tsitsiklis
Video Lecture 1 of 25
Copyright Information: John Tsitsiklis. 6.041 Probabilistic Systems Analysis and Applied Probability, Fall 2010. (Massachusetts Institute of Technology: MIT OpenCourseWare), (Accessed 31 Jan, 2015). License: Creative Commons BY-NC-SA
1 rating
Views: 3,692
Date Added: April 8, 2013

Lecture Description

This video lecture, part of the series Probabilistic Systems Analysis and Applied Probability by Prof. John Tsitsiklis, does not currently have a detailed description and video lecture title. If you have watched this lecture and know what it is about, particularly what Electrical Engineering topics are discussed, please help us by commenting on this video with your suggested description and title. Many thanks from,

- The CosmoLearning Team

Course Index

Course Description

An subject on the modeling and analysis of random phenomena and processes, including the basics of statistical inference. Nowadays, there is broad consensus that the ability to think probabilistically is a fundamental component of scientific literacy.

The aim of this class is to introduce the relevant models, skills, and tools, by combining mathematics with conceptual understanding and intuition.

This course is suitable to both undergraduate and graduate students.


There are no comments. Be the first to post one.
  Post comment as a guest user.
Click to login or register:
Your name:
Your email:
(will not appear)
Your comment:
(max. 1000 characters)
Are you human? (Sorry)