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MA 797V

Validation, Verication and Uncertainty Quantification

Course Topics

  • Model development including deterministic and stochastic models
  • Numerical approximation techniques and convergence analysis
  • Parameter estimation techniques
  • Data collection techniques and experimental analysis
  • Uncertainty in parameters
  • Monte Carlo techniques to predict uncertainty
  • Statistical and residual analysis
  • Gaussian and Bayesian emulators

Grade: Projects (can be done in groups of up to 3 or 4 students): 100%

Office hours: By appointment

Contact info: Ralph C. Smith, SAS 4140, Department of Mathematics, NCSU, Raleigh, NC 27695-8205, phone: 919-515-7552, fax: 919-515-1636, email: