Model Based Systems Engineering (MBSE)

ENGR 803.03

This course introduces Model-Based Systems Engineering (MBSE), covering digital engineering principles, core tenets, and implementation strategies. It explores MBSE tools, languages, SysML, and practical applications for developing a tailored MBSE methodology.

READ MORE ABOUT THIS COURSE
Live Online
Starting at $1,850.00
As few as 3 weeks
1.8

What you can learn.

  • Determine the benefits of MBE in complex system design, challenges, and opportunities
  • Evaluate MBSE in the System Development Lifecycle (SDLC)
  • Understand MBSE tools, language, and methodology
  • Identify SysML – diagrams, objects, and relationships
  • Deep-dive into a tailored version of the INCOSE OOSEM

About this course:

Model-Based Systems Engineering (MBSE) is taking major traction in systems engineering to improve and facilitate development and delivery of products. MBSE domain models as the primary means of exchange of requirements, information and feedback, as opposed to the traditional document-centric systems engineering. This course starts with an introduction to digital engineering and MBSE.  You will learn to identify the core tenets of MBSE and how to implement a model-based systems engineering approach. We will look at the set of models as the system’s data repository, how to query features and capabilities, exchange information, analyze models, and verify requirements. We will cover MBSE tools such as MSOSA, Rhapsody, etc.  In this course you will also learn about MBSE languages and frameworks. We will do a deep dive into SysML with case studies and examples. The course concludes with the building of a robust MBSE methodology tailored to project needs and MBSE practical applications.

Spring 2025 Schedule

Date & Time
Details
Format
 
-
Tuesday, Thursday 4:00PM - 7:00PM PT
Available
See Details
403416
Fee:
$1,850.00
Live Onlineformat icon
Location: Remote Classroom
Notes

UCLA Contact:
Gina Springer
310-206-1846
gspringer@unex.ucla.edu

Refund Deadline
No refunds after June 05, 2025
Schedule
Type
Date
Time
Location
Lecture
Tue Jun 3, 2025
4:00PM PT - 7:00PM PT
Remote Classroom
Lecture
Thu Jun 5, 2025
4:00PM PT - 7:00PM PT
Remote Classroom
Lecture
Tue Jun 10, 2025
4:00PM PT - 7:00PM PT
Remote Classroom
Lecture
Thu Jun 12, 2025
4:00PM PT - 7:00PM PT
Remote Classroom
Lecture
Tue Jun 17, 2025
4:00PM PT - 7:00PM PT
Remote Classroom
Lecture
Thu Jun 19, 2025
4:00PM PT - 7:00PM PT
Remote Classroom

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