Learn about:
UML and SysML
Model-based systems engineering (MBSE) approach
SysML diagrams and language
Look at SysML from the systems engineering process viewpoint
Develop a system conceptual model and architecture using SysML.
System architecture, modeling and design with SysML
The SysML training course covers the following:
Provides a comprehensive overview of the SysML concepts, terminology and modeling notation
Shows how to create analysis and design models with SysML
Covers the complete system-modeling lifecycle from requirements to Validation of the system
Presents many practical case studies
50% lectures and 50 % practical (hands on exercises).
Who Should Attend
Systems engineers
System modelers
System architects
Software engineers
System integrators
Analysts and designers
Product developers
Project leader
Project heads
Anyone associated with systems engineering projects.
Learning Objectives
Describe UML
Describe SysML
Describe model-based systems engineering approach
List SysML diagrams and language concepts
Apply SysML as part of a model based SE process
Explore transitioning to SysML
Synthesize and analyze existing architecting approaches to enhancing creativity while reducing ambiguity and complexity.
Utilize out-of-the-box holistic system thinking
Develop a system conceptual model and architecture using SysML.
Define system architecture, modeling and behavior with SysML
Describe how a system’s function emerges
Describe the notions of system, product, service, and project
Model a combined Project-Product Lifecycle Management system and study the benefits of the project-product synergies with SysML
Work with real life projects using SysML
Course Agenda:
Overview of Systems Engineering (SE)
What is Model-based systems engineering (MBSE) ?
Overview of UML and SysML
Overview of System Modeling with SysML
The Structure of an element or system
SysML Diagram Techniques
SysML Modeling Elements
SysML Diagram Taxonomy
Working with SysML
Workshops
Request more information regarding SysML Training. Visit Tonex sysml course link below
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