Online MBSE Training in Nigeria

The 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.

Through a blend of lectures, demonstrations, and interactive workshops, this course highlights the essential principles for building and sustaining an Enterprise Architecture (EA) using the Unified Architecture Framework (UAF) version 1.2.

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

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

This course is designed to teach the fundamental principles of the Systems Modeling Language (SysML), its implementation via the MagicDraw/Cameo software platform, core Model-Based Systems Engineering (MBSE) simulation techniques, and industry best practices. The training covers the basics of creating templates and generating reports within the MagicDraw/Cameo tool suite, while also explaining how macros and scripts operate within MagicDraw and their potential applications.

This training teaches the fundamentals of the Systems Modeling Language (SysML) and its application via MagicDraw/Cameo software, alongside core MBSE simulation techniques and best practices. It also equips professionals with knowledge of architectural simulation, an introduction to the Simulation Toolkit plugin, the simulation of various diagram types, and methods for linking diagram simulations to automate architecture.​

This course is designed to teach the fundamentals of the Systems Modeling Language (SysML), its application via the 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, and is specifically aimed at introducing the fundamental concepts and functionalities for developing and utilizing model queries in MagicDraw/Cameo.​

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 MBSE best practices. The training offers a foundational introduction to the core concepts and features of CATIA No Magic’s Teamwork Cloud, alongside introducing the fundamental 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.

Take-Aways:

• Understanding the purpose of ontologies
• Comprehension of the benefits of knowledge graphs
• Practical knowledge of Protégé and Concept Modeling

This instructor-led, live training (online or onsite) is designed for beginner to intermediate-level professionals who wish to understand configuration management risks and apply product line engineering concepts, with or without dedicated tools.

By the end of this training, participants will be able to: Analyze risks related to product changes throughout the lifecycle; Apply best practices in configuration management; Understand key concepts of product line engineering; Model variability and product lines with or without tools; Implement an end-to-end process from variability definition to product derivation; And evaluate the benefits of using 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 session (online or onsite) is designed for beginner to intermediate-level professionals seeking to learn and apply MBSE using the ARCADIA method and the Capella tool.

Upon completion of this training, participants will be able to: Understand MBSE principles and their alignment with ISO 15288:2023; Describe the ARCADIA methodology and its different architectural layers; Apply ARCADIA from operational need to physical architecture; Use Capella to build, analyze, and manage system models; Implement best practices in system modeling through a real case study

This instructor-led live training (available online or onsite) is aimed at professionals and domain experts who wish to understand MBSE concepts and efficiently review system models created using the ARCADIA method and the Capella tool.

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

• Understand the ARCADIA methodology and its architectural layers
• Navigate and interpret Capella models
• Assess the consistency of models with system requirements and architecture
• Perform structured model reviews
• Add clear and relevant review comments within Capella

Objective:

This course supports analysts and designers within the System Engineering field in mastering the efficient collection of requirements and subsequent embedded software design and implementation, grounded in system specifications through the use of UML 2 and SysML.

Designed as a 3-day intensive program, it enables system analysts to articulate their requirements clearly and assists designers in formulating robust architectural designs tailored to those needs.

The resulting system architecture enhances the agility of embedded system software amidst changes. It ensures coherent traceability from business rules embedded within system functions to end-user usage choices (use cases), extending all the way to the software implementation level.

This course is presented in two variants to help participants gain a practical understanding of how systems can be modelled using the latest version of the Object Management Group's (OMG) 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.

As highly complex distributed systems emerge, the focus of complexity shifts from individual systems to the architecture governing a group of systems. This course explores the relationship between Software Architecture and Technical Enterprise Architecture, two areas that are interrelated in ways not yet fully articulated. For instance, decomposing a complex monolithic system into two distinct systems communicating via web services will necessitate significant changes to both the new systems and the architecture linking them.

This course will examine the trade-offs involved, along with currently prevalent patterns and solutions for managing complex systems and their internal and external communications.