Introduction to SysML 1.7 & CATIA Magic

Understand SysML’s modeling language and apply it hands-on using CATIA Magic.

✨ FREE ✨ — ⏱️ Duration 2 hour ⏱️

Abstract

👋 Ready to get hands-on with SysML and CATIA Magic? In this course, we’ll introduce you to the Systems Modeling Language (SysML 1.7) and CATIA Magic, the powerful combo that turn Model-Based Systems Engineering (MBSE) into a practical and dynamic process.

First, we dive into SysML—the most popular standard language 💬 for modeling systems. We’ll guide you through all its pillars and diagrams so that you have all the basics.

Then, we transition into CATIA Magic from Dassault Systèmes 🛠️, where you’ll get hands-on experience with the tool that brings SysML models to life. From basics to tips and tricks, this section equips you with the skills to create and manage system models effectively using CATIA Magic.

By the end of this course, you’ll not only understand SysML but also have the confidence to start applying it in real-world projects with CATIA Magic. 🚀

Modules

Introduction to SysML 1.7

SysML 1.7 is a graphical modeling language for Model-Based Systems Engineering (MBSE), designed to represent a system’s structure, requirements, behaviors, and parametrics in a standardized way. SysML is not a methodology or tool, but a language that can be used with compatible software. Originally developed as an extension of UML, SysML addresses its limitations, particularly in hardware, multi-domain systems, and parametric analysis.


Organizing Models and Modeling Structure

In this section, we explore the structural features of SysML, focusing on Packages, Blocks, and their relationships within a system model. Packages serve as containers for organizing system elements, ensuring efficient model structure and clarity. Blocks, the core element in SysML, represent real-world or abstract objects and are used to define a system's components, attributes, and behaviors. We also dive into Part Properties and Reference Properties, which represent the "whole-part" structure and external relationships of a system, respectively. Generalization allows for creating reusable, modular components by inheriting attributes from a supertype, offering flexibility and modularity.


Modeling Behaviors and Use Cases

This section provides an in-depth exploration of SysML behaviors and their representation, focusing on Activities, State Machines, and Interactions. The video introduces how these elements model system behavior by transforming inputs into outputs through controlled actions (Activity), managing system states (State Machines), and illustrating communication between system components (Interactions). Key concepts like Action, Control Flow, Object Flow, Fragments, and Receptions are explained, with a focus on real-world applications, such as modeling an electric bike's simplified behavior. Finally, Use Cases are introduced as a method for capturing the system's functionalties. These foundational concepts set the stage for more advanced SysML applications and methodologies.


Capturing Requirements and Constraints

In this section, we explore key concepts such as Requirements, Constraints, and Parametric Diagrams. You'll learn how to translate textual requirements into structured, formal representations using Constraint Blocks. We will cover the Derive Requirement, Satisfy, Verify, and Refine relationships within SysML and how they help manage traceability and validation. The focus is on reusability, especially how engineers can use Constraint Blocks to apply complex equations across different systems.


Basics of Modeling with CATIA Magic

In this video, we introduce the core functionalities of Magic Cyber Systems Engineer (MCSE) to help you get started with Model-Based Systems Engineering (MBSE). We explore how to create and manage projects, create elements and diagrams. The video also covers tools for efficient project navigation, diagramming, managing relationships and visualizing data with tables, matrices, and maps. Additionally, we discuss how MCSE ensures model consistency and helps validate models using built-in rules. This tutorial is designed to equip you with the necessary skills to start using MCSE for MBSE.