synopsis
Unlock the future of systems engineering with our immersive Model-Based Systems Engineering (MBSE) course. Over four intensive days, you'll dive deep into the core principles, methodologies, and tools of MBSE, equipping you with the skills and knowledge to lead the way in complex engineering projects. From requirements capture to system architecture design, verification, and validation, you'll master the art and science of MBSE. Real-world case studies and hands-on exercises will empower you to apply MBSE effectively, communicate your insights, and advance your engineering career.
You can attend this course in one of the following formats:
- instructor-led training in a live, virtual classroom,
- e-training (on-demand),
- instructor-led training in a live classroom, and
- blended (on-demand and live sessions).
you will learn how to
At the end of this course, you should be able to:
- Gain a comprehensive understanding of the principles, methodologies, and tools of Model-Based Systems Engineering (MBSE).
- Develop proficiency in creating clear and accurate system models using modelling languages such as SysML and UML.
- Master the techniques for capturing, documenting, and managing system requirements within an MBSE framework.
- Acquire the skills to model, simulate, and analyze system behaviour, aiding in the design and optimization of complex systems.
- Demonstrate expertise in using MBSE for the rigorous verification and validation of system behaviour and compliance with requirements.
- Collaborate effectively within multidisciplinary teams engaged in MBSE projects, facilitating smoother project execution.
- Integrate MBSE seamlessly into existing systems engineering processes and workflows.
- Apply MBSE techniques to real-world case studies and engineering challenges, gaining practical experience.
- Enhance the ability to communicate and present MBSE results persuasively to stakeholders, fostering effective decision-making.
- Be prepared for enhanced career prospects in fields where MBSE is critical to systems engineering practice.
- This course uses digital materials.
audience
We designed the "Model-Based Systems Engineering (MBSE)" course to cater to a diverse audience of professionals, engineers, and individuals who aim to deepen their understanding and proficiency in MBSE. The course is particularly beneficial for the following groups:
- Systems Engineers: Systems engineers looking to enhance their knowledge and skills in MBSE to effectively model, analyze, and manage complex systems.
- Software Engineers and Developers: Software professionals seeking a comprehensive understanding of MBSE to align software systems with broader system architecture.
- Project Managers: Project managers and team leaders responsible for overseeing projects where MBSE is applied to optimize project outcomes.
- Business Analysts: Business analysts interested in understanding how MBSE can be used to capture and manage system requirements effectively.
- Quality Assurance Specialists: Quality assurance professionals aiming to leverage MBSE for more rigorous verification and validation of system behaviour.
- Cross-disciplinary Professionals: Professionals from various fields (e.g., aerospace, automotive, healthcare, defence) where MBSE plays a crucial role in system design, analysis, and management.
- Engineering Students and Graduates: Engineering students, recent graduates, and aspiring systems thinkers looking to build a strong foundation in MBSE principles and practices.
- Systems Architects: Systems architects who need to expand their skill set and enhance their ability to design and communicate complex systems.
- Anyone Interested in Systems Engineering: Individuals from diverse backgrounds interested in understanding how MBSE can improve problem-solving and decision-making in complex systems.
We designed this course to accommodate learners with various experience levels and backgrounds. It provides introductory and advanced content, ensuring participants can apply MBSE principles and tools effectively within their respective domains and industries.