1.010 Uncertainty in Engineering, Fall 2004

Veneziano, Daniele

Author(s)

Veneziano, Daniele

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Alternative title

Uncertainty in Engineering

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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.

Date issued

2004-12

URI

http://hdl.handle.net/1721.1/46355

Department

Massachusetts Institute of Technology. Department of Civil and Environmental Engineering

Other identifiers

1.010-Fall2004

local: 1.010

local: IMSCP-MD5-f1483b7c9222308d5edb4e457bd1c1a0

Keywords

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

Collections

MIT OCW Archived Courses