Model-Based Systems Engineering Training (MBSE)

Commitment 4 Days, 7-8 hours a day.
Language English
User Ratings Average User Rating 4.8 See what learners said
Price REQUEST
Delivery Options Instructor-Led Onsite, Online, and Classroom Live

COURSE OVERVIEW

This four-day Model-Based Systems Engineering Training (MBSE) course provides an introduction to Model-Based Systems Engineering (MBSE): the practice of using a system model to streamline the process of requirements analysis, architecture, and design. Lectures on proven, state-of-the-art techniques will be reinforced with lessons learned and case studies from the instructor’s own experiences applying MBSE of major DoD acquisition programs, along with in-class, live demonstrations using a popular system modeling tool (Cameo Systems Modeler™ by No Magic, Inc.) to create an example model.

The Model-Based Systems Engineering course is valuable to systems engineers, program managers, and anyone else interested in understanding what is required to create a system model, how to use it to support systems engineering activities on a program, and the benefits that can be realized.

WHAT'S INCLUDED?
  • 4 days of Model-Based Systems Engineering Training (MBSE) with an expert instructor
  • Model-Based Systems Engineering (MBSE) Electronic Courseware
  • Certificate of Completion
  • 100% Satisfaction Guarantee
RESOURCES
RELATED COURSES

ADDITIONAL INFORMATION

COURSE OBJECTIVES

Upon completion of this Model-Based Systems Engineering (MBSE), you will be able to:

  • Practical, proven techniques for creating models using industry standard SysML, and how to use those models to support systems engineering.
  • How to use one of the most popular system modeling tools to create, verify, and validate system models.
  • Preparing for a formal design review using the model as its centerpiece.
  • Linking the SysML model to external analytical models.
CUSTOMIZE IT
  • We can adapt this Model-Based Systems Engineering (MBSE) course to your group’s background and work requirements at little to no added cost.
  • If you are familiar with some aspects of this Model-Based Systems Engineering (MBSE) course, we can omit or shorten their discussion.
  • We can adjust the emphasis placed on the various topics or build the Model-Based Systems Engineering (MBSE) course around the mix of technologies of interest to you (including technologies other than those included in this outline).
  • If your background is nontechnical, we can exclude the more technical topics, include the topics that may be of special interest to you (e.g., as a manager or policy-maker), and present the Model-Based Systems Engineering (MBSE) course in a manner understandable to lay audiences.
AUDIENCE/TARGET GROUP

The target audience for this Model-Based Systems Engineering (MBSE) Workshop course:

  • The Model-Based Systems Engineering course is valuable to systems engineers, program managers, and anyone else interested in understanding what is required to create a system model, how to use it to support systems engineering activities on a program, and the benefits that can be realized.
CLASS PREREQUISITES

The knowledge and skills that a learner must have before attending this Model-Based Systems Engineering (MBSE) course are:

  • N/A

COURSE SYLLABUS

  1. MBSE Overview. MBSE Overview. What MBSE is and isn’t, practical benefits of MBSE.
  2. Introduction to the Systems Modeling Language (SysML). Language notation and diagrams, element types, and relationships.
  3. Tool Introduction and Methodology Introduction. How to use a typical modeling tool, and methodology for developing a model.
  4. Organizing Your Model. Best practices for model organization, packages, and model libraries.
  5. Stakeholder Needs Analysis. Operational architecture, capabilities, measures of effectiveness, mission use cases.
  6. Systems Context Definition. Systems of systems architectures, black-box system specification.
  7. System Requirements Elicitation. System use cases, functional requirements derivation.
  8. Functional Analysis. Use case scenarios, Functional decomposition. Model-Based Systems Engineering Training (MBSE)
  9. Logical and Physical Architecture. Allocation of functions to logical elements, allocation of logical to physical elements.
  10. Parametric Analysis. Analysis contexts, Linking technical measures and system attributes, executing the analysis.
  11. Reviewing and Assessing the Design. Model verification, executing a design review.
  12. Advanced Topics in MBSE. Creating extensions to SysML, domain-specific modeling, and model validation.
Model-Based Systems Engineering Training (MBSE)Model-Based Systems Engineering Training (MBSE) Course Wrap-Up

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