Verification and Validation in Scientific Computing
Engineering systems must increasingly rely on computational simulation for predicted performance, reliability, and safety. Computational analysts, designers, decision makers, and project managers who rely on simulation must have practical techniques and methods for assessing simulation credibility. This course presents modern terminology and effective procedures for verification of numerical simulations, validation of mathematical models, and uncertainty quantification of nondeterministic simulations.
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Length: 4 days CEUs: 1.50 PDHs: 15.00
Probabilistic and Uncertainty Quantification Methods for Model Verification & Validation
This two-day course explains the concepts and effective procedures used for managing uncertainties in model predictions. The focus is on methods, approaches, and strategies for quantifying uncertainties in model predictions.
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Length: 2 days CEUs: 1.50 PDHs: 15.00
Verification & Validation of Models and Simulation Combo Course
Save time and money when you take Verification and Validation in Scientific Computing and Probabilistic and Uncertainty Quantification Methods for Model Verification & Validation in this back-to-back session.
Save 58% on enrollment
Length: 6 days CEUs: 3.00 PDHs: 30.00