Model Based Systems Engineering Design and Analysis (APPEL-MBSE3)


  • Systems Engineering & Engineering
    Systems Engineering & Engineering

This 3-day course takes a stews 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.

Systems Engineering Competencies
  • SE 1.0 System Design
  • SE 2.0 Product Realization
  • SE 3.0 Technical Management

Click here to view full competency model.

Upon completion of this course, participants will be able to:

  • Describe the organization and major processes that comprise the NASA Systems Engineering (SE) "engine"
  • Define Model-Based Systems Engineering (MBSE) as a practice and discipline
  • Identify various MBSE tools in current use around the industry
  • Define the purpose of modeling languages
  • Recognize and name SysML as well as other commonly used systems engineering diagrams and artifacts
  • Explain the systems engineering framework that comprises the NASA Systems Engineering "engine" and how we use it to develop technical baselines throughout the lifecycle
  • Discuss and give examples for the application of MBSE across the lifecycle, from goals, objectives and ConOps through verification planning
  • Explain the uses for each SysML diagrams as well as diagrams used by other languages and modeling approaches (i.e. LML, DoDAF, IDEF)
  • Compare and contrast the different modeling languages and explain their application
  • Generalize the organization (schema) used by MBSE tools
  • List model-based systems engineering (MBSE) tools, contrast them with model-based engineering tools, and explain how they can be used to capture, connect, communicate, collaborate, control and cycle the systems engineering effort
  • Discuss the value proposition for MBSE within the project context
  • List model-based systems engineering (MBSE) tools, contrast them with model-based engineering tools, and explain how they can be used to capture, connect, communicate, collaborate, control and cycle the systems engineering effort
  • Summarize specific examples, usage extent and lessons learned from MBSE application to NASA and other programs
  • Demonstrate an understanding of basic SysML syntax
  • Simulate system behavior given a fully populated model
  • Use an MBSE tool to build simple system model elements given existing system descriptions and artifacts.
  • Given a fully-populated system model, produce typical project documents and artifact
  • Demonstrate how multiple models can be managed as part of lifecycle technical data requirements
  • Employ an existing model for re-use on a new system or application
  • Demonstrate an understanding of basic SysML syntax
  • Given an MBSE model and/or artifacts from model, infer details about the system's behavior as well as potential issues (i.e. gaps, overlaps, missing traceability, etc.)
  • Point out omissions and other issues with a project by examining a full-populated system model and/or model-generated artifacts
  • Examine the effects on system design and behavior by tracing changes (causes) through a given system model and/or model-generated artifacts
  • Interpret typical systems engineering artifacts (i.e. requirements documents, functional flow diagrams) to determine system architecture and other information
  • Combine multiple, diverse models into a single integrated model
  • Modify a fully-populated system model to fix known problems or omissions
  • Develop key systems engineering diagrams and other artifacts to communicate requirements validation, system context, functional behavior, physical architecture, interfaces, risks and other information
  • For a given simple system that is already defined (requirements, functional architecture, physical architecture), develop a complete system model to include all basic SYSML diagrams as well as other typical artifacts (i.e. documents)
  • Simulated model-based Design Review: Given a fully-populated system model, and/or model-generated artifacts representing baseline entrance criteria (i.e. MCR), assess the state of the project against baseline success criteria and recommend acceptance or changes

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