Presented by Gavin Jones , Sr. SmartUQ Application Engineer
Gavin Jones, Sr. SmartUQ Application Engineer, is responsible for performing simulation and statistical work for clients in aerospace, defense, automotive, gas turbine, and other industries. He is also a key contributor in SmartUQ’s Digital Twin/Digital Thread initiative. Mr. Jones received a B.S. in Mechanical Engineering and Astronautics from the University of Wisconsin-Madison.
Instructed by Ed Kraft from the University of TN Space Institute and Gavin Jones from SmartUQ
- From May 17 – May 26, 2022 (2 Weeks, 4 Lectures, 8 Hours)
- Every Tuesday and Thursday at 1300-1500 Eastern Time (all sessions will be recorded and available for replay; course notes will be available for download)
- This one-of-a-kind course is at the leading edge of the rapidly emerging field of digital engineering.
- All students will receive an AIAA Certificate of Completion at the end of the course.
In this 8-hour course, students will gain an in-depth understanding of Digital Engineering tools, principles, and practices. They will learn to think digitally, not digitized, and to focus on DE to transform lifecycle processes to deliver knowledge enabling better decision making at the speed of relevance.
The course will introduce Digital Engineering strategies and methods to transform system engineering paradigms deploying model-based digital surrogate truth sources, demonstrate the context and value of implementing uncertainty quantification at all levels and phases of decision making under risk, and translating high-volume, high-velocity digital data into better products, processes, and mission effectiveness by delivering essential knowledge to master risk at the speed of need.
SMARTUQ, an uncertainty quantification (UQ) and analytics software tool, will be used for practical illustrations of the context and methods for UQ applications to the creation of digital surrogate truth sources, quantified margins and uncertainties, and support to decision making under risk.
Learning Objectives
- Gain an in-depth understanding of Digital Engineering concepts and methods
- Create, calibrate, and apply authoritative digitalsurrogates truth sources
- Implement quantified margins and uncertainties analyses to master risk at critical decision points
- Discover better systems and test engineering performance metrics to support Test & Evaluation (T&E) and critical decision making under risk
- Translate the DoD Digital Engineering Strategy into practical actions to create lifecycle value
Who Should Attend:
This course is intended for decision makers, program managers, chief engineers, test engineers, engineers, analysts, and data scientists from aerospace or any other industry interested in creating business value.
