Conference: May 15 – 17, 2019 Training & Committee Meetings: May 13 – 14, 2019
MC133 – Verification and Validation in Scientific Computing (2 day course)
This course presents modern terminology and effective procedures for verification of numerical simulations, validation of mathematical models, and an introduction to uncertainty quantification of nondeterministic simulations. The techniques presented in this course are applicable to a wide range of engineering and science applications, including fluid dynamics, heat transfer, solid mechanics, and structural dynamics.
Instructors: Christopher Roy & William Oberkampf
PDHs/CEUs: 15/1.5
Book(s): Verification and Validation in Scientific Computing, Cambridge University Press (2010)
MC146 – Probabilistic and Uncertainty Quantification Methods for Model Verification & Validation (2 day course)
This course presents the concepts, methods, approaches, and strategies for characterizing and managing uncertainties within the context of model verification and validation (V&V). Uncertainty quantification methods are presented in-depth followed by simple exercises to reinforce the material. Attendees will learn to use the NESSUS probabilistic analysis software and will apply it throughout the course to gain experience in problem formulation, results interpretation and communication. V&V case studies are discussed to illustrate model development within a V&V framework.
Instructors: David Riha and Ben Thacker
Book(s): None
ASME Learning & Development is accredited by the International Association for Continuing Education and Training (IACET). ASME Learning & Development complies with the ANSI/IACET Standard, which is recognized internationally as a standard of excellence in instructional practices. As a result of this accreditation, ASME Learning & Development is authorized to issue the IACET CEU.
For questions, visit our Frequently Asked Questions page.
