1.151 Probability and Statistics in Engineering


Class Info

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 not be offered this semester. It will be available in the Spring semester, and will be instructed by D. Veneziano.

This class counts for a total of 12 credits. This is a graduate-level class.

In the Fall 2015 Subject Evaluations, 1.151 was rated 4.9 out of 7.0. You can find more information on MIT OpenCourseWare at the Probability and Statistics in Engineering site or on the 1.151 Stellar site.

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Probability and Statistics in Engineering
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