SysML Training in Kuala Lumpur

This course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application through the MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and best practices in MBSE.

This training will guide you on how to use SysML, the modeling language for systems engineering. You will primarily explore block diagrams for structuring complex systems, and delve into sequence, state machine, and activity diagrams for dynamic modeling. You will also learn to use specific SysML diagrams such as requirements diagrams and parametric diagrams, as well as the concept of allocation. We will emphasize the importance of establishing a modeling approach tailored to the company's context and the type of system under study. Practical exercises will be conducted using the Cameo Systems Modeler (MagicDraw) modeling tool by NoMagic.

Audience:

Systems engineers, business analysts, and architects tasked with modeling complex systems involving both hardware and software.

Pedagogical Approach:

Theoretical lectures supported by illustrative examples.
50% hands-on exercises using Cameo Systems Modeler on a case study conducted throughout the training.

This course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application through the MagicDraw/Cameo software, basic Model-Based Systems Engineering (MBSE) simulation techniques, and best practices in MBSE. This training covers the fundamentals of creating templates and generating reports within the MagicDraw/Cameo tool suite, and teaches how macros and scripts work inside MagicDraw and what they can be applied to.

The course is structured 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 industry best practices. This training also equips professionals with a background in architectural simulation, introduces the Simulation Toolkit plugin, covers the simulation of various diagram types, and demonstrates how to link diagram simulations to automate architectural processes.​

This course is structured 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 industry best practices. The training covers core concepts and features related to validation rules, validation suites, and model metrics, while also introducing the essential skills for developing and utilizing model queries within MagicDraw/Cameo.

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

Objective:

This training is designed to equip Analysts and Designers within the System Engineering domain with the skills to efficiently gather requirements and proceed with embedded software design implementation, guided by system specifications through the use of UML 2 and SysML.

Spanning three days, the programme aims to assist system analysts in articulating their needs effectively, while enabling designers to formulate the appropriate architectural designs for the system based on those needs.

The resulting system architecture offers robust agility to embedded system software, particularly in the face of changes. It achieves this by maintaining coherent traceability between business rules encapsulated in system functions and the usage choices (use cases) of end-users, extending down to the software implementation level.

This course is delivered in two variants to provide a practical understanding of how systems can be modelled using the newest version of OMG's Systems Modelling Language (SysML) specification. The notation and underlying semantics of SysML are explained in a way that allows students to apply what they learn to any suitable system modelling method or tool.

This instructor-led, live training in Kuala Lumpur (online or onsite) is aimed at project managers, architects, and system engineers who wish to model and evaluate systems using SysML V2 features and capabilities.

By the end of this training, participants will be able to specify, analyze, design, and verify complex systems using SysML V2.

In this instructor-led, live training in Kuala Lumpur (online or onsite), participants will learn how to use SysML as implemented in Enterprise Architect (EA) to carry out system requirements analysis and modeling.

By the end of this training, participants will be able to:

• Understand and apply SysML to Systems Engineering projects, using a Model Based Systems Engineering (MBSE) approach.
• Identify system requirements based on use case models.
• Design and analyze system architecture.

This is a 3-day training covering principles of modeling, UML, SysML and use of MagicDraw or Cameo following a case study, which demonstrates a typical model-based systems engineering approach.

The course:

• Includes lectures and hands-on practice in using MagicDraw or Cameo for systems modeling using SysML;
• Explains major SysML concepts and diagrams;
• Provides hands-on experience building system model examples;
• Shows how to trace model elements in different views;
• Explains how to use MagicDraw features efficiently;
• Is based on a consistent modeling case study.

Audience:

• System architects, system engineers, software architects and other stakeholders who will create and use models.

Methods:

• Presentations, discussions, and case study-based practical assignments.

Course Materials:

• Slides, case study model, and practical assignment descriptions.

Certificates:

• Each participant receives NobleProg certificate indicating that he/she attended the training.