Systems Analysis & Systems Engineering
Digital Engineering Modeling
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 product/ system design, development, delivery, and full lifecycle support.
This course teaches the essentials of Digital Engineering Modeling. The focus is on developing skills expected of all systems engineers and architects working in a digital engineering environment, using modeling languages, methods, and tools. You will develop abilities to model, design, communicate, and collaborate as engineers applying modeling languages, modeling methods, and tools to develop complex systems using teamwork, collaboration, and sound systems engineering. The course includes the interpretation of models and modeling best practices using individual and group lab exercises.
Audience
System Engineers, Architects, Program/Project Managers, Developers, Analysts, QA 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.
Upon completion of the course, students will be able to:
- Create an Information Security Architecture that meets the requirements of governance, compliance and risk management.
- Evaluate Security architecture models and frameworks.
- Develop an infrastructure security program.
- Produce an identity and access management architecture.
- Integrate security principles into applications development.
- Design a security operations architecture
- Lesson 1: Modeling tools, development, and collaboration fundamentals
- Lesson 2: Model interpretation in the systems engineering context
- Lesson 3: Model accuracy, completeness, trust, and reusability
- Lesson 4: Interrelationships among model elements and diagrams
- Lesson 5: Modeling data and processes
- Lesson 6: Modeling languages, design concepts, diagrams, and attributes to create model artifacts
- Lesson 7: Collaborate while using digital modeling environments
- Lesson 8: Model management and life cycle
- Lesson 9: System security considerations
- Lesson 10: Labs: application of tools to systems engineering use cases
- Lesson 11: Interaction of systems and teams in digital engineering environments
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.