Uncertainty in engineering
Bachelor's degree
In Maynard (USA)
Description
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Type
Bachelor's degree
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Location
Maynard (USA)
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Start date
Different dates available
This course gives an introduction to probability and statistics, with emphasis on engineering applications. Course topics include events and their probability, the total probability and Bayes' theorems, discrete and continuous random variables and vectors, uncertainty propagation and conditional analysis. Second-moment representation of uncertainty, 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.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Probability
- Engineering
- Statistics
Course programme
Lectures: 2 sessions / week, 1.5 hours / session
Recitations: 1 session / week, 2 hours / session
This course gives an introduction to probability and statistics, introducing students to quantitative uncertainty analysis and risk assessment with emphasis on engineering applications. The course focuses on probability theory and its applications, with a smaller module at the end covering basic topics in statistics (parameter estimation, hypothesis testing and regression analysis). The probability modules cover events and their probability, the total probability and Bayes' theorems, discrete and continuous random variables and vectors, the Bernoulli trial sequence and Poisson process models, conditional distributions, functions of random variables and vectors, statistical moments, second-moment uncertainty propagation and second-moment conditional analysis, and various probability models such as the exponential, gamma, normal, lognormal, uniform, beta and extreme-type distributions. Throughout the subjects, concepts are illustrated with examples from various areas of engineering and everyday life.
None in probability and statistics, but familiarity with elementary linear algebra (vectors, matrices) and calculus (derivatives, integrals) is assumed.
Ang, Alfredo H-S., and Wilson H. Tang. Probability Concepts in Engineering: Emphasis on Applications to Civil and Environmental Engineering. 2nd ed. New York, NY: John Wiley & Sons, 2006. ISBN: 9780471720645.
Students are encouraged to discuss all course material with one another except for homework assignments, which should be individually done. Interaction to solve suggested problems is appropriate.
Students should not seek to obtain previous years' solutions to homeworks. If they have knowledge of such solutions, they should so indicate for each homework problem. Problems for which students had previous knowledge of the solutions will not be used for grading.
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Uncertainty in engineering