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American Institute of Aeronautics and Astronautics

    Applications of Model-Based Systems Engineering

    16 November, 2017.  1300-1430 Eastern Standard Time
    Introductory Member Price: $99 $49 USD
    Introductory Non-Member Price: $149 $79 USD
    Student Member Price: $9.99 USD

    Register Here for Replay


    90-minute overview of model-based systems engineering ( MBSE) theory, methods, principles, and tools. Emphasis is on providing the foundations of MBSE with application to real-world applications. This DirectTech Webinar will explore fundamental tenets, roles of ontologies, capturing requirements and behaviors, incorporating MBSE into system engineering processes, and V&V. The Webinar covers multi-view, amorphous, hierarchical, and multi-paradigm models as well as graphically-oriented and models-of-computation based approaches.


    Learning Objectives

    • Understanding the scope of MBSE and its relationship to traditional systems engineering
    • Understanding the opportunities and limitations of MBSE
    • Understanding precursors to modeling and knowing when modeling is complete
    • Understanding processes for developing system models


    Who Should Attend

    The material is applicable to junior through senior level systems engineers engaged in or interested in learning MBSE theory and application. The material will be applicable to all engineering domains. Note this will not be a SysML how-to class. The goal is to teach MBSE fundamentals and show how these are applied to real-world problems.



    Dr. Michael Sievers, NASA Jet Propulsion Laboratory
    Dr. Michael Sievers is a Senior Systems Engineer at Caltech’s Jet Propulsion Laboratory and a Lecturer in the System Architecting and Engineering Program at the University of Southern California. He teaches graduate courses in Model Based Systems Engineering, Systems/SoS Integration, and cyber-physical systems. He conducts research in model-based systems engineering and is a principal investigator on a number of harsh environment, fault-tolerant, high-performance computing research projects. He holds a Ph.D. in Computer Science from the University of California, Los Angeles.


    Recommended Book

    Advances in Systems Engineering by John Hsu; Richard Curran