1.010 Uncertainty in Engineering, Fall 2004
Name
1-010Fall-2004/OcwWeb/Civil-and-Environmental-Engineering/1-010Fall-2004/CourseHome/index.htm
Size
14.16 KB
Format
HTML
Checksum (MD5)
0db29788e2c59542d982082e82bc7048
Author(s)
Veneziano, Daniele
Alternative Title
Uncertainty in Engineering
Date Issued
December 2004
Abstract
This undergraduate class serves as an introduction to probability and statistics, with emphasis on engineering applications. The 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 propagation and conditional analysis. The second segment deals with second-moment representation of uncertainty and second-moment uncertainty propagation and conditional analysis. The final segment covers random sampling, point and interval estimation, hypothesis testing, and linear regression. Many of the concepts covered in class are illustrated with real-world examples from various areas of engineering.
Subjects
statistics
decision analysis
random variables and vectors
uncertainty propagation
conditional distributions
second-moment analysis
system reliability
Bayesian analysis and risk-based decision
estimation of distribution parameters
hypothesis testing
simple and multiple linear regressions
Poisson and Markov processes
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Persistent DSpace Link
