Open Enrollment Querying MagicDraw Models with Structured Expressions Training Course

This course builds upon existing knowledge of UML. During the training, the focus is on the practical application of UML for object-oriented analysis.

This instructor-led, live training (available online or onsite) targets professionals aiming to leverage AI to speed up their systems and software engineering efforts. If you have been looking for ways to significantly accelerate your systems engineering work using AI, this course is designed for you.

As part of their lab exercise, students will model a Scanning Electron Microscope (covering both hardware and software aspects), learning how to formulate effective prompts to obtain AI assistance in building the model.

Upon completing this 3-day class, participants will:

•  understand how to utilize AI as a "subject matter expert" during system/software model definition. 
•  gain familiarity with "the four pillars of SysML" (Requirements, Structure, Behavior, and Parametrics)
•  learn how to structure SysML models to incorporate software elements, 
  • generate User Interface Code from Behavior Models, 
  • generate Database Code from Structure Models, 
  • generate Microcontroller Code from State Machines

This course is structured to teach the core principles of the Systems Modeling Language (SysML), its implementation via Magicdraw/Cameo software, fundamental Model-Based Systems Engineering (MBSE) simulation methods, and industry best practices for MBSE.

Through a blend of lectures, demonstrations, and interactive labs, this course presents the foundational principles for developing and sustaining an Enterprise Architecture (EA) based on the Unified Architecture Framework (UAF) version 1.2.

This instructor-led, live training targets beginner-level engineers and professionals seeking to apply MBPLE within CATIA Magic to understand and implement product line engineering concepts.

• By the conclusion of this training, participants will be able to:
• Understand the fundamental concepts and vocabulary of PLE and MBPLE
• Describe best practices for product line modeling
• Implement a product line definition process in CATIA Magic
• Utilize MBPLE features like feature models, variation points, and configurations

This course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application via the MagicDraw/Cameo software, core Model-Based Systems Engineering (MBSE) simulation techniques, and MBSE best practices. Training includes mastering the creation of templates and report generation within the MagicDraw/Cameo tool suite, as well as understanding how macros and scripts function internally within MagicDraw and their potential applications.

This course is structured to teach the fundamentals of the Systems Modeling Language (SysML) and its application via MagicDraw/Cameo software, along with core Model-Based Systems Engineering (MBSE) simulation techniques and best practices. The training also equips professionals with knowledge of architectural simulation, introduces the Simulation Toolkit plugin, covers the simulation of various diagram types, and demonstrates how to integrate diagram simulations to automate architecture.​

This course is structured to teach the foundational principles of the Systems Modeling Language (SysML), its application via MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and established MBSE best practices. The training focuses on core concepts and features related to validation rules, validation suites, and model metrics, while also introducing the essential aspects of developing and utilizing model queries in MagicDraw/Cameo.​

This course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application via MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and MBSE best practices. The training offers a foundational introduction to the core concepts and features of CATIA No Magic’s Teamwork Cloud, as well as the core concepts and features of Domain Specific Languages (DSL) in MagicDraw.​

Automation Using Macros & Scripting in MagicDraw is a course designed to teach how macros and scripts work inside MagicDraw and what they can be used for. This course provides a mix of module-based lectures and live, hands-on, instructor led demonstration. Our trainers are all experienced practitioners who understand the balance of theory and practicality.

Takeaways: Foundational understanding of capabilities and best practices for using macros and scripting in MagicDraw

Developing Domain-Specific Languages in MagicDraw is an advanced course designed to provide a basic introduction to the core concepts and features of Domain-Specific Languages (DSL) in MagicDraw. This course provides a mix of module-based lectures and live, hands-on, instructor-led demonstrations. Our trainers are all experienced practitioners who understand the balance of theory and practicality.

Take-Aways: Foundational understanding of capabilities and best practices for developing DSLs in MagicDraw.

Through a blend of lectures, demonstrations, and interactive labs, this course illustrates the foundations required to build and maintain an Enterprise Architecture (EA) using the Unified Architecture Framework (UAF) version 1.2.

This course centers on utilizing the Cameo Simulation Toolkit to simulate system behaviors, conduct trade studies, and automate architectural designs. It also includes specialized modules addressing requirements verification, the Action Language Helper, and the creation of graphical interfaces for simulations.

A full-day session of lectures and demonstrations that explores the essential capabilities of Teamwork Cloud and Magic Collaboration Studio, such as role management, model handling, collaborative modeling workflows, and project architecture.

This course provides a mix of module-based lectures, instructor demonstration, and hands-on labs. Our trainers are all experienced practitioners who understand the balance of theory and practicality.

Take-Aways:

• Knowledge of the purpose of ontologies​
• Understanding of the benefits of knowledge graphs
• Working knowledge of Protégé and Concept Modeling