Descriptions
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 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.
What you’ll learn
- Mathematical Modeling
- Probability
- Simulations
- Reliability
- Risk Modeling
- Probability Distribution
- Markov Model
- Regression Analysis
- Bayesian Statistics
- Statistical Analysis
- Statistical Inference
- Applied Mathematics
Specificatoin of Introduction to Uncertainty Quantification
- Publisher : Coursera
- Teacher : Michael Shields
- Language : English
- Level : Intermediate
- Number of Course : 4
- Duration : 3 weeks to complete at 10 hours a week
Content of Introduction to Uncertainty Quantification
Requirements
- Students should be proficient in calculus
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Subtitle : English
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File size
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