Verification and Validation in Computational Science
Special topics course
Sandia National Laboratory Z-machine
| ISC 5935-04 Verification and Validation in Computational Science Special topics course |
Sandia National Laboratory Z-machine
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Computer simulation is of critical importance in several engineering
and basic science applications. Frequently it is the only way to study
complex physics phenomena, design new or improve the existing
engineering systems. Verification and validation is a centerpiece of
modern computer code development environment and of critical
importance for creating successful simulation tools.
The course will cover both theory and practice of verification and validation in computational sciences. Students will learn basic terminology, procedures and practical methods used in software implementation verification and solution verification, use of exact and manufactured solutions, and elements of software quality assurance. Essential data analysis techniques will be introduced and a review of software development and maintenance tools will be given. Examples from physical sciences and engineering will be used to illustrate aspects of code validation including validation hierarchy, validation benchmarks, uncertainty quantification and simulation code predictive capabilities. Computational laboratory will be an essential part of the course. |
Syllabus (doc, pdf)ScheduleResourcesCourse Blackboard (requires FSU login)
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