EML 6577
Verification, Validation, and Uncertainty Quantification
In depth study of uncertainty, how to build system models based on uncertain data, how to determine the accuracy of the model, and how to verify, validate results. Covers the practical aspects of considering uncertainty and Bayesian statistics in the design process and the verification and validation of the resulting design.
Prerequisites & course information
Grading Scheme: Letter Grade Prerequisite: Graduate student standing and an Undergraduate course in programming.
Sources
- Course catalogue ↗2025-2026