Skill Level: Open to all.
This 4-day course takes a systematic approach to addressing the "why?" "what?" and "how?" of model-based systems engineering (MBSE). The course begins by laying the foundation with a broad overview of the processes, practices, tools and techniques that comprise the emerging discipline of MBSE, with a focus on application for the user, practitioner as well as model developer. The course reviews the systems engineering framework and protocols that establish the context for MBSE practice. We then examine the evolution of MBSE from paper to software and briefly review the concept and usages of modeling languages (UML, SYSML, LML, etc.) and tools. The course focuses on the key value propositions MBSE offers-Capturing, Connecting, Controlling, Communicating, Collaborating and Cycling-with specific examples, lessons learned from applications in NASA and commercial projects. Application of MBSE to develop and deliver artifacts in support of all 17 processes that comprise the NASA Systems Engineering "engine" across the program/project lifecycle are examined in detail. The course takes a "deep dive" in to modeling languages to understand various approaches (i.e. SysML) to understand key elements of syntax and application. The course includes a series of hands-on exercises to explore MBSE tool use and application in a practical project context with emphasis on working with various models (importing, exporting, reusing) as well as applications and benefits of model simulations.
This course for practitioners interested in a comprehensive deep dive into the processes, practices, applications, and benefits of MBSE. It can be delivered as a stand-alone course or as part of a modular, concurrently delivered three-day series featuring all three MBSE courses.
This course is intended for practicing systems engineers, payload principal investigators, subsystem engineers or project managers involved in any phase of the space mission life cycle who are curious about application of MBSE and are seeking a basic foundation in the subject, an appreciation for practical applications along with a deeper understanding of model design and analysis in their own programs/projects. Some basic understanding of systems engineering principles and processes is assumed.