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Introduction to Uncertainty Quantification

Uncertainty Quantification (UQ) is the science of mathematically quantifying and reducing uncertainty in systems of all types. Students will learn the nature...

By Johns Hopkins University on Coursera

About This Course

Uncertainty Quantification (UQ) is the science of mathematically quantifying and reducing uncertainty in systems of all types. Students will learn the nature and role of uncertainty in physical, mathematical, and engineering systems along with the basics of probability theory necessary to quantify uncertainty. The course provides an introduction to various sub-topics of UQ including uncertainty propagation, surrogate modeling, reliability analysis, random processes and random fields, and Bayesian inverse UQ methods.

Frequently Asked Questions

How much does Introduction to Uncertainty Quantification cost?

Introduction to Uncertainty Quantification costs $49. Check the course page for current pricing and available discounts.

Who teaches Introduction to Uncertainty Quantification?

Introduction to Uncertainty Quantification is taught by Johns Hopkins University, Johns Hopkins University.

What skill level is Introduction to Uncertainty Quantification for?

This course is designed for beginner learners.

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$49.00
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Students0
DurationSelf-paced
LevelBeginner
Languageen
PlatformCoursera