Length: 1 days
To learn more about the ASME Verification and Validation Symposium, please click HERE. To download the course brochure, please click HERE.
This two-day course explains the concepts and effective procedures used for managing uncertainties in model predictions. The focus is on methods, approaches, and strategies for quantifying uncertainties in model predictions.
Probabilistic and Uncertainty Quantification (UQ) methods are presented in-depth followed by exercises to reinforce the material. Attendees will learn how to use the NESSUS® probabilistic analysis software and will apply it throughout the course to gain experience in problem formulation and results interpretation and communication.
Course attendees will be furnished with print copies of the presentation, as well as printed copies of the charts used during the course. Attendees will also receive a 3-month license for the NESSUS® probabilistic analysis software.
You Will Learn To:
- Identify potential uncertainties in models and data
- Represent uncertainties in models and inputs
- Explain how uncertainties impact model predictions
- Select methods to efficiently propagate uncertainties in the models
- Identify options to reduce uncertainties in the model predictions
Click HERE to review the course outline
Attendees will need to bring a Windows or Apple based laptop computer to complete the course exercises. Download and installation instructions will be provided prior to the course or can be installed during the course if the attendee has administrator permissions.
Who Should Attend
This course is essential for engineers, scientists, and technical managers concerned with managing uncertainties in model predictions used to make decisions in the engineering design and evaluation process.