Digital Engineering Fundamentals

OVERVIEW

In this 8-hour short 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 digital surrogates 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

AUDIENCE
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.

COURSE INFORMATION
Type of Course: Instructor-Led Short Course
Course Level: Fundamentals
Course Length: 3 days
AIAA CEU’s available: Yes

This course is also available on-demand. Register here.

Frequently Asked Questions

Outline

Lecture 1: Introduction to Digital Engineering Principles and Practices

Digital Engineering History and Terminology
DoD Digital Engineering Strategy
Digital Engineering Enabled Value
Model Based Systems Engineering (MBSE)
Model Based Engineering (MBE)
Authoritative Digital Surrogates
Mastering Risk

Lecture 2: Uncertainty Quantification

Introduction to Uncertainty & Probabilistic Analysis
Uncertainty Quantification (UQ) Process Overview
Uncertainty Quantification Methods and Benefits
Design of Experiments (DOEs)
Gaussian Process Emulation
Improving Design Space Sampling
Sensitivity Analysis
Uncertainty Propagation
Statistical Calibration
Digital Twins

Lecture 3: Transforming Systems Engineering and Test & Evaluation (T&E)

Transformation of Systems Engineering Using Digital Engineering
Systems Engineering Performance Metrics
Digital Critical Decision Making
T&E Transformation Using Digital Engineering
Optimizing T&E campaigns
Digital Test and Evaluation Master Plan

Lecture 4: Authoritative Virtualization and Decisioning

Architecture Centric System Development
Mission Engineering – Putting It All Together
Lifecycle Meta-Model for Authoritative Virtualization
Continuous Digital Intelligence for Authoritative Decisioning

Materials

Instructors

Dr Edward Kraft is an independent consultant to the aerospace industry and was the Associate Executive Director for Strategic Initiatives at the University of TN Space Institute. He has over 48 years’ experience in innovative integration of high-performance computing with ground/flight testing. He is of the early pioneers and principal architects for the AF Digital Thread/Digital Twin and continues working across the A&D Industry advancing concepts for Digital Engineering applications. He is an AIAA Fellow and Digital Engineering Integration Committee member.

Gavin Jones, SmartUQ Applications Engineering, is responsible for performing simulation and statistical work for clients in aerospace, defense, automotive, gas turbine, and other industries. He is a contributor to SmartUQ’s Digital Thread/Digital Twin initiative.

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For information, group discounts,

and private course pricing, contact:

Lisa Le, Education Specialist (lisal@aiaa.org)