1.010 | Fall 2008 | Undergraduate
Uncertainty in Engineering
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 …
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.
Learning Resource Types
assignment Problem Sets
grading Exams
notes Lecture Notes
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.)