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
Audience
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.
Instructor
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.