August 20–22, 2024

Online Course

Join TMS to gain valuable skills and a firm understanding of practices and techniques for the verification, validation, and uncertainty quantification (V&V/UQ) of computational models. A team of expert instructors will lead participants through several modules: how to design and implement robust verification and validation practices; code and solution verification; computational uncertainty quantification; quantifying experimental uncertainties for validation assessments; designing validation experiments (combining modeler and experimentalist perspectives); and regulatory agency perspectives, as shown through examples and lessons learned.

This course is firmly grounded in the TMS science and technology accelerator study, Accelerating the Broad Implementation of Verification & Validation in Computational Models of the Mechanics of Materials and Structures. It will cover principles of the topic from the study’s report, research and expertise of the course instructors, and practical examples.

What You Gain

• Practical working knowledge of the various detailed practices and techniques for the verification, validation, and uncertainty quantification (V&V/UQ) of computational models
• The value proposition and practical examples of robust V&V/UQ practices
• References and resources for further in-depth study on V&V/UQ

Who Should Take This Course

Anyone involved in projects that include predictive computational modeling, both modelers and experimentalists, who want to gain practical insight and knowledge of various V&V/UQ practices, including industry professionals, researchers, and university students, as well as leaders and managers who would like to have a deeper understanding of V&V/UQ

Hear from Past Attendees

"This excellent course is educational as well as inspirational." –2022 Participant

"This was an excellent course that provided me a lot of value. Instructors were well prepared and provided very good content...I was grateful for the digital delivery and timely recordings. This provided me flexibility and value." –2021 Participant

Course Instructors and Organizers

This course is being organized by the following individuals:

Lead Instructors

• Jacob Hochhalter, University of Utah
• David Moorcroft, Federal Aviation Administration
• Aaron Tallman, Florida International University
• Michael Tonks, University of Florida
• Brandon M. Wilson, Los Alamos National Laboratory

Additional Instructors

• Kenneth Aycock, US Food and Drug Administration
• Somnath Ghosh, Johns Hopkins University
• Zachary Harris, University of Pittsburgh
• Joshua Kaizer, U.S. Nuclear Regulatory Commission