Uncertainty Quantification Courses and Certifications

Introduction to Uncertainty Quantification

10 ratings at Coursera

Master the fundamentals of Uncertainty Quantification through probability theory, uncertainty propagation, surrogate modeling, reliability analysis, and Bayesian methods for mathematical and engineering systems.

• Coursera
• 1 day 5 hours 57 minutes
• On-Demand
• Paid Course

Isaac Newton Institute for Mathematical Sciences

Uncertainty Quantification for Bayesian Inverse Problems - Efficient Methods in the Small Noise Regime

Explore efficient methods for uncertainty quantification in Bayesian inverse problems, focusing on small noise regimes and data-driven engineering applications.

• YouTube
• 57 minutes
• On-Demand
• Free Video

Hausdorff Center for Mathematics

Uncertainty Quantification for Kinetic Equations II

Explore uncertainty quantification for kinetic equations, focusing on Monte Carlo methods, multi-fidelity approaches, and stochastic Galerkin particle techniques to address high-dimensional challenges.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Gaussian Process Approximation & Uncertainty Quantification for Autonomous Experiment

Explore advanced Gaussian process techniques for function approximation, uncertainty quantification, and autonomous experimentation, addressing challenges and improving performance in real-world applications.

• YouTube
• 52 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Uncertainty Quantification of Quantum Chemical Methods - IPAM at UCLA

Explore uncertainty quantification in quantum chemistry, covering error estimation, benchmarking, and machine learning approaches for improved accuracy in computational methods.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Hausdorff Center for Mathematics

Uncertainty Quantification for Kinetic Equations I

Overview of uncertainty quantification for kinetic equations, covering Monte Carlo methods, multi-fidelity techniques, and stochastic Galerkin particle methods. Explores computational challenges and recent advancements in the field.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

AGU

Advances in Data Assimilation, Predictability, and Uncertainty Quantification - 2017

Explore cutting-edge techniques in data assimilation, predictability, and uncertainty quantification with leading experts from renowned institutions in this comprehensive scientific session.

• YouTube
• 2 hours 6 minutes
• On-Demand
• Free Video

Alan Turing Institute

Uncertainty Quantification with Physics-Informed Machine Learning

Exploring uncertainty quantification in physics-informed machine learning, focusing on architecture and learning approaches for scientific applications and complex real-world phenomena.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Inside Livermore Lab

Uncertainty Quantification and Deep Learning for Water-Hazard Prediction

Explore uncertainty quantification and deep learning techniques for predicting water hazards, focusing on storm surge impacts and urban infrastructure damage assessment.

• YouTube
• 1 hour 3 minutes
• On-Demand
• Free Video

Inside Livermore Lab

Uncertainty Quantification, Software Ecosystems, and Infrastructure Resilience - Technical Talk

Explore uncertainty quantification, exascale software ecosystems, and infrastructure resilience in this technical talk by Sarah Osborn at WiDS Livermore 2024.

• YouTube
• 15 minutes
• On-Demand
• Free Video

MICDE University of Michigan

UQ for ML and ML for UQ - Uncertainty Quantification and Machine Learning in Physics-Based Modeling

Explore the interplay between Uncertainty Quantification and Machine Learning in physics-based modeling, examining their roles in solving complex computational challenges across various applications.

• YouTube
• 57 minutes
• On-Demand
• Free Video

APS Physics

Basics of Uncertainty Quantification - Going Beyond Model Accuracy

Discover uncertainty quantification fundamentals to assess model reliability beyond simple accuracy metrics in physics applications.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

IPhT-TV

Uncertainty Quantification and Propagation for ACORN

Explore uncertainty quantification and propagation techniques for ACORN systems through advanced mathematical modeling and statistical analysis methods.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Institute for Pure & Applied Mathematics (IPAM)

Functional Simulations for Uncertainty Quantification and Inverse Problems

Explore functional atomic simulations for uncertainty quantification and inverse problems in electrochemistry, covering differentiable methods for geometry optimization and free energy calculations.

• YouTube
• 48 minutes
• On-Demand
• Free Video

INI Seminar Room 2

Mathematical Aspects of Uncertainty Quantification for Interatomic Potentials

Delve into mathematical aspects of uncertainty quantification for interatomic potentials, exploring Bayesian approaches and applications in computational materials science.

• YouTube
• 1 hour
• On-Demand
• Free Video