Uncertainty in Engineering

Satellite image of Hurricane Katrina off the Gulf coast.

Hurricane Katrina, showing rainfall extremes. The probability of weather events is used as an example in class. (Image courtesy of NASA.)

Instructor(s)

MIT Course Number

1.010

As Taught In

Fall 2008

Level

Undergraduate

Cite This Course

Course Features

Course Description

This course gives an introduction to probability and statistics, with emphasis on engineering applications. Course topics include events and their probability, the total probability and Bayes' theorems, discrete and continuous random variables and vectors, uncertainty propagation and conditional analysis. Second-moment representation of uncertainty, random sampling, estimation of distribution parameters (method of moments, maximum likelihood, Bayesian estimation), and simple and multiple linear regression. Concepts illustrated with examples from various areas of engineering and everyday life.

Archived Versions

Veneziano, Daniele. 1.010 Uncertainty in Engineering, Fall 2008. (MIT OpenCourseWare: Massachusetts Institute of Technology), http://ocw.mit.edu/courses/civil-and-environmental-engineering/1-010-uncertainty-in-engineering-fall-2008 (Accessed). License: Creative Commons BY-NC-SA


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