Digital Engineering Fundamentals - Online Short Course
Hosted by AIAA
On Demand
Register
- 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.
Presented by Dr. Ed Kraft
SmartUQ Technical Advisor
He has over 48 years of experience in testing and evaluation in both the private and public sector. He is one of the initiators and principal architects for the Air Force’s Digital Thread/Digital Twin initiative and a strong advocate for the application of Uncertainty Quantification in developing the digital authoritative truth source in support of decision making. He is a distinguished alumnus of both the University of Cincinnati and the University of Tennessee Space Institute, where he received his degrees in aerospace engineering. He is a fellow of the American Institute of Astronautics and Aeronautics (AIAA) and an Arnold Engineering Development Complex fellow.
Presented by Gavin Jones
Principal Application Engineer
Gavin Jones serves as a Principal Application Engineer at SmartUQ, where he is responsible for performing simulation and AI work for clients in the automotive, aerospace, defense, semiconductor, and other industries. He is a member of the SAE Chassis Committee as well as the AIAA Digital Engineering Integration Committee. Gavin is also a key contributor in SmartUQ’s Digital Twin/Digital Thread initiative.
