Verification and Validation of Models. 3 credits

Catalog description

This course covers verification and validation (V&V) practices across different modeling techniques. Topics include V&V terminology, data visualization for V&V, runtime verification, validation of artificial intelligence (AI) and machine learning, agent-based, cognitive, statistical, and network models as well as ethics of model development and use. Offered by Computational & Data Sciences . May not be repeated for credit.