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1.010 Uncertainty in Engineering

Prereq: Calculus II (GIR)
U (Fall)
12 Units

Introduces probability and statistics with an emphasis on understanding, quantifying, and modeling uncertainty. Topics include events and their probability, the total probability and Bayes' theorems, discrete and continuous random variables and vectors, covariance, correlations, 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. Integrates applications with statistical computing and graphics.

S. Saavedra

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