6.041A Introduction to Probability I

Class Info

Provides an introduction to probability theory and the modeling and analysis of probabilistic systems. Probabilistic models, conditional probability. Discrete and continuous random variables. Expectation and conditional expectation. Limit Theorems. Students taking graduate version complete additional assignments. Combination of 6.041A and 6.041B counts as a REST subject.

This class has 18.02 as a prerequisite.

6.041A will be offered this semester (Spring 2019). It is instructed by P. Jaillet and J. N. Tsitsiklis.

Lecture occurs 12:00 PM to 13:00 PM on Mondays and Wednesdays in 4-370.

This class counts for a total of 6 credits.

You can find more information at the MIT + 6.041A - Google Search site or on the 6.041A Stellar site.

Required Textbooks
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MIT 6.041A Introduction to Probability I Related Textbooks
MIT 6.041A Introduction to Probability I On The Web

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