Introduction to Uncertainty Quantification Using Dakota
This course covers the foundations of uncertainty quantification in Dakota
Instructor: Dario Sirangelo
Term: Spring
Location:
Time:
I am still organizing the contents of this course in a format that can be easily browsed online. Please be patient, it will be here soon!
Course Overview
Prerequisites
- Basic programming knowledge in Python or similar scripting language
- An introductory knowledge of statistics
Textbooks
Grading
No grading for this course. Attending students were provided on request with a certificate of participation for obtaining a credit recognition for their doctoral studies.
Schedule
| Week | Date | Topic | Materials |
|---|---|---|---|
| 1 | Apr 18 |
Introduction to Uncertainty Quantification Using Dakota
|