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Uncertainty Quantification

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May 1, 2024 3 minute read

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Uncertainty Quantification (UQ) is a field of study that seeks to quantify and manage uncertainty in complex systems and models. It is used in a wide range of disciplines, including engineering, finance, healthcare, and climate science.

Why Learn Uncertainty Quantification?

There are several reasons why one might want to learn about Uncertainty Quantification:

To satisfy curiosity: UQ is a fascinating and challenging field of study that can be intellectually stimulating for those who enjoy solving complex problems.
To meet academic requirements: UQ is a required or elective course in many undergraduate and graduate programs in engineering, science, and mathematics.
To use UQ to develop career and professional ambitions: UQ skills are in high demand in a variety of industries, including engineering, finance, healthcare, and climate science.

Careers in Uncertainty Quantification

Path to Uncertainty Quantification

Take the first step.

We've curated three courses to help you on your path to Uncertainty Quantification. Use these to develop your skills, build background knowledge, and put what you learn to practice.

Sorted from most relevant to least relevant:

Introduction to Uncertainty Quantification

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Mastering Data Analysis in Excel

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Decision Making Under Uncertainty: Introduction to Structured Expert Judgment

Decision Making Under Uncertainty: Introduction to...

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Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Uncertainty Quantification.

Assessing the Reliability of Complex Models

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Explores the concepts and applications of Uncertainty Quantification (UQ) in computational simulation.

Assessing the Reliability of Complex Models:...

Paperback

Computational Fluid Dynamics for Wind Engineering

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Provides a comprehensive overview of UQ in CFD covering both the theoretical foundations of UQ and practical techniques for performing UQ in CFD simulations. It valuable resource for CFD practitioners who want to incorporate UQ into their simulations to improve their accuracy and reliability.

Computational Fluid Dynamics for Wind Engineering

Hardcover

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Computational Fluid Dynamics for Wind Engineering

Kindle Edition

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Probability Methods for Cost Uncertainty Analysis

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Provides a theoretical foundation for UQ in complex systems, focusing on the mathematical techniques used to quantify and manage uncertainty. It valuable resource for researchers and practitioners who want to develop and apply UQ methods to complex systems.

Probability Methods for Cost Uncertainty Analysis

Paperback

Probability Methods for Cost Uncertainty Analysis:...

Kindle Edition