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Introduction to Uncertainty Quantification

1.465 students enrolled
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.
CERTIFICATEKatılım Sertifikası
FORMAT100% Online
DURATIONSelf-paced

What you'll learn

  • Probability
  • Bayesian Statistics
  • Probability Distribution
  • Failure Analysis
  • Probability & Statistics
  • Estimation
  • Mathematical Modeling
  • Statistical Inference
  • Statistical Modeling
  • Statistical Methods
  • Markov Model
  • Reliability

Details

  • ProviderJohns Hopkins University
  • TypeCourse
  • CategoryEngineering & Science
  • LanguageEnglish

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Ramazan Bölükbaşı
Çok yoğun programı olan öğrenciler için büyük bir fırsat. Bir şeylerin gelişmesi değişmesi için çabalamalıyız.
Melis Gülsar
Hızlı desteği ve üst düzey hizmeti ile Campus Online ve Sosyal Medya Sertifika Programı hizmeti sağlayan Adnan Menderes Üniversitesine sonsuz teşekkürlerimi sunuyorum.
Nazif Bayram

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