1 151 - Probability and Statistics in Engineering

Institution:

Massachusetts Institute of Technology

Subject:

Description:

Quantitative analysis of uncertainty and risk for engineering applications. Fundamentals of probability, statistics, and decision analysis. Events and their probability, Total Probability and Bayes' Theorems. Random variables and vectors. Bernoulli Trial Sequence and Poisson Point Process models. Conditional distributions and distribution of functions of random variables and vectors. Probabilistic moments, second-moment uncertainty propagation and best linear unbiased estimation theory for variables and vectors. Introduction to system reliability. Estimation of distribution parameters (method of moments, maximum likelihood, Bayesian estimation) and simple and multiple linear regression. Emphasis on application to engineering problems.

Credits:

3.00

Credit Hours:

Prerequisites:

Prereq: Permission of instructor

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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