Digital Engineering
This course covers the essentials of Digital Engineering, which is an advancement and evolution of proven Systems Engineering methods and frameworks.
Digital Engineering is the use and development of computer models that represent all aspects of a complex product or system. The modeling process creates digital data and digital linkages that can be leveraged to integrate the product/system design, development, delivery, and full lifecycle support into a better quality or system than that produced by a traditional Systems Engineering framework. Digital Engineering can also foster a more agile approach to the development of products and systems.
In 2018 the Department of Defense released its Digital Engineering Strategy:
“The strategy promotes the use of digital representations of systems and components and the use of digital artifacts to design and sustain national defense systems. The department’s five strategic goals for digital engineering are:
- Formalize the development, integration, and use of models to inform enterprise and program decision making
- Provide an enduring, authoritative source of truth
- Incorporate technological innovation to improve the engineering practice
- Establish a supporting infrastructure and environment to perform activities, collaborate and communicate across stakeholders
- Transform the culture and workforce to adopt and support digital engineering across the lifecycle”
Audience
System Engineers, System/Enterprise Architects, Program and Project Managers, Developers, Analysts, Quality Assurance Engineers
Prerequisites
One year or more of enterprise IT experience with software and systems. Knowledge of or training in formal Systems Engineering practices and methodologies is recommended.
- Lesson 1: Systems Engineering Principles
- Lesson 2: Model-Based Systems Engineering (MBSE)
- Lesson 3: Challenges of Complex Systems & Products
- Lesson 4: Product Management Best Practices
- Lesson 5: Evolution of Digital Engineering
- Lesson 6: Critical Enablers of Digital Engineering
- Lesson 7: Aspects of Digital Engineering Models
- Lesson 8: Modeling Tools & Processes
- Lesson 9: Model Management
- Lesson 10: Systems of Systems (SoS)
- Lesson 11: Digital Engineering Lifecycle
- Lesson 12: Agile and Digital Engineering
- Lesson 13: System Case Studies
Is there a discount available for current students?
UMBC students and alumni, as well as students who have previously taken a public training course with UMBC Training Centers are eligible for a 10% discount, capped at $250. Please provide a copy of your UMBC student ID or an unofficial transcript or the name of the UMBC Training Centers course you have completed. Asynchronous courses are excluded from this offer.
What is the cancellation and refund policy?
Student will receive a refund of paid registration fees only if UMBC Training Centers receives a notice of cancellation at least 10 business days prior to the class start date for classes or the exam date for exams.