1.151 Probability and Statistics in Engineering
Introduces probability and statistics for engineering applications. Topics in probability include events and their probability, Total Probability and Bayes' Theorems, discrete and continuous random variables and vectors, Bernoulli Trial Sequence and Poisson point process, functions of random variables and vectors and conditional uncertainty analysis using full-distribution and second-moment uncertainty representation. Topics in statistics include estimation of distribution parameters, hypothesis testing, and simple linear regression. Concepts illustrated with examples from various areas of engineering and everyday life.
This class has no prerequisites.
1.151 will be offered this semester (Spring 2019). It is instructed by D. Veneziano.
Lecture occurs 9:30 AM to 11:00 AM on Tuesdays and Thursdays in 1-242.
This class counts for a total of 12 credits. This is a graduate-level class.
You can find more information at the MIT + 1.151 - Google Search site.
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