MBSE Training in Athens

This course aims to instruct participants on the core principles of the Systems Modeling Language (SysML), its practical implementation using MagicDraw/Cameo software, fundamental Model-Based Systems Engineering (MBSE) simulation techniques, and established best practices within MBSE.

Through a blend of lectures, demonstrations, and interactive labs, this course illustrates the foundational methods for creating and sustaining an Enterprise Architecture (EA) employing the Unified Architecture Framework (UAF) version 1.2.

This instructor-led, live training is designed for beginner-level engineers and professionals who want to utilize MBPLE within CATIA Magic to understand and implement product line engineering concepts.

• Upon completion of this training, participants will be able to:
• Grasp the core concepts and terminology of PLE and MBPLE
• Articulate best practices for product line modeling
• Establish a product line definition process within CATIA Magic
• Utilize MBPLE capabilities such as feature models, variation points, and configurations

This course is structured to teach the core principles of the Systems Modeling Language (SysML), its application via the MagicDraw/Cameo software suite, fundamental Model-Based Systems Engineering (MBSE) simulation techniques, and industry best practices. Training focuses on the essentials of template creation and report generation within MagicDraw/Cameo, while also explaining the functionality of macros and scripts within the MagicDraw environment and their potential applications.

The curriculum is structured to teach the core principles of the Systems Modeling Language (SysML), its application via MagicDraw/Cameo software, fundamental MBSE simulation techniques, and MBSE best practices. This training also equips professionals with an understanding of architectural simulation, introduces the Simulation Toolkit plugin, covers the simulation of various diagram types, and demonstrates how to link diagram simulations to automate architecture.​

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 industry best practices. This training focuses on the core concepts and features of validation rules, validation suites, and model metrics, while introducing the development and utilization of 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 best practices in MBSE. The training offers an introduction to the core concepts and features of CATIA No Magic’s Teamwork Cloud, as well as the key concepts and features of Domain Specific Languages (DSL) in MagicDraw.

This course combines module-based lectures, instructor demonstrations, and hands-on labs. Our trainers are experienced practitioners who balance theory with practical application.

Key Takeaways:

• Understanding the purpose of ontologies.
• Gaining insight into the benefits of knowledge graphs.
• Practical knowledge of Protégé and Concept Modeling.

This instructor-led, live training (online or onsite) targets beginner to intermediate-level professionals seeking to understand configuration management risks and apply product line engineering concepts, whether using dedicated tools or not.

By the end of this training, participants will be able to: Analyze risks associated with product changes throughout the lifecycle; Apply best practices in configuration management; Understand the key concepts of product line engineering; Model variability and product lines using or avoiding tools; Implement a full process from variability definition to product derivation; and Evaluate the benefits of utilizing tools such as pure::variants and FeatureIDE.

This instructor-led, live training in (online or onsite) is aimed at beginner-level professionals who wish to use pure::variants to understand and implement product line engineering concepts.

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

• Understand product line engineering concepts applied with pure::variants
• Analyze best practices for product line modeling
• Implement an end-to-end variability process (from definition to variant instantiation)
• Use pure::variants with connectors such as Microsoft Office

This instructor-led, live training (online or onsite) is aimed at beginner-level professionals who wish to understand the value, challenges, and implementation principles of MBSE using the ARCADIA method and the Capella tool.

By the end of this training, participants will be able to Understand the principles and benefits of MBSE; Describe the ARCADIA methodology and its positioning within systems engineering; Explain the added value of Capella compared to traditional document-based tools; Identify impacts of MBSE adoption on engineering processes and practices; and Understand MBSE contribution to digital continuity and multidisciplinary collaboration

This instructor-led live training (online or onsite) targets beginner to intermediate professionals eager to learn and apply MBSE using the ARCADIA method and Capella tool.

By the end of the training, participants will be able to: comprehend MBSE principles and their alignment with ISO 15288:2023; describe the ARCADIA methodology and its architectural layers; apply ARCADIA from operational needs to physical architecture; use Capella to build, analyze, and manage system models; and implement best practices in system modeling via a real case study.

This instructor-led, live training (available online or onsite) is designed for professionals and domain experts seeking to grasp MBSE concepts and efficiently review system models built using the ARCADIA method and the Capella tool.

Upon completion of this training, participants will be able to:

• Understand the ARCADIA methodology and its architectural layers
• Navigate and interpret Capella models
• Evaluate model consistency against system requirements and architecture
• Execute structured model reviews
• Provide clear and relevant review comments within Capella

Objective:

This course assists System Engineering analysts and designers in efficiently gathering requirements and proceeding with the implementation of embedded software designs grounded in system specifications, leveraging UML 2 and SysML.

Spanning three days, this training is designed to help system analysts articulate their needs effectively and enable designers to establish the appropriate system architecture based on those requirements.

The resulting system architecture ensures a high degree of agility for embedded system software when facing changes, as it facilitates coherent traceability from business rules encapsulated in system functions and end-user usage choices (use cases) down to the software implementation level.

This programme is available in two formats to deliver a hands-on comprehension of how systems can be modelled using the latest iteration of the Object Management Group's (OMG) Systems Modelling Language (SysML) specification. The notation and fundamental semantics of SysML are elucidated so that learners can effectively apply their knowledge to any appropriate system modelling methodology or tool.

As distributed systems become increasingly intricate, the challenge shifts from the complexity of individual systems to the architectural complexity of the ecosystem as a whole. This course explores the dynamic relationship between Software Architecture and Technical Enterprise Architecture, two disciplines that are deeply interconnected yet often insufficiently described. For instance, decomposing a monolithic application into two separate systems communicating via web services necessitates significant adjustments to both the new components and the architecture facilitating their interaction.

Participants will examine the trade-offs involved, alongside prevalent patterns and solutions for managing complex systems and their internal and external communications.