CS-6444: Verification and Validation in Scientific Computing
Description: Applicable to scientific and engineering models described by partial differential or integral equations. Software engineering, code verification, and the method of manufactured solutions for generating exact solutions. Estimation of numerical approximation errors in scientific computing. Design and execution of experiments for model validation and model accuracy assessment. Propagation of aleatory and epistemic uncertainty through models. Estimation of total prediction uncertainty in scientific computing simulations. Graduate Standing required
Pathways: N/A
Course Hours: 3 credits
Sections Taught: 1
Average GPA: 3.46 (A-)
Strict A Rate (No A-) : 0.00%
Average Withdrawal Rate: 0.00%
| Christopher J Roy | 2014 | 40.0% | 60.0% | 0.0% | 0.0% | 0.0% | 0.0% | 3.46 | 1 |