1.010 -- Uncertainty in Engineering
Course Description: Introduction to probability and statistics, with emphasis on engineering applications. First segment discusses events and their probability, Bayes' Theorem, discrete and continuous random variables and vectors, univariate and multivariate distributions, Bernoulli trials and Poisson point processes, and full-distribution uncertainty propogation and conditional analysis. Second segment deals with second-moment representation of uncertainty and second-moment uncertainty propogation and conditional analysis. Last segment covers random sampling, point and interval estimation, hypothesis testing, and linear regression. Concepts illustrated with examples from various areas of engineering.

This class is at the Undergraduate level
Instructor: D. Veneziano
Prerequisites: 18.02

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