1 010 - Uncertainty in Engineering

Institution:

Massachusetts Institute of Technology

Subject:

Description:

Introduction to probability and statistics with emphasis on engineering applications. Events and their probability, Total Probability and Bayes' Theorems, discrete and continuous random variables and vectors, univariate and multivariate distributions, Bernoulli Trial Sequence and Poisson point process, uncertainty propagation and conditional analysis. Second-moment representation of uncertainty and second-moment uncertainty propagation and conditional analysis. 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.

Credits:

3.00

Credit Hours:

Prerequisites:

Prereq: Calculus II (GIR)

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

web.mit.edu/student/

Phone Number:

(617) 253-1000

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Four-one-four plan

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