Develop essential engineering skills with expert instruction and practical examples.
This postgraduate-level online course provides a comprehensive, industry-ready introduction to Model-Based Systems Engineering (MBSE) specifically for mechanical product design, simulation integration, and lifecycle management. You will learn how to transition from document-heavy, disconnected processes to integrated, model-centric engineering workflows. MBSE serves as a single source of truth that unifies CAD design, FEA/CFD simulation data, system requirements, and verification activities.
This shift enables faster design iterations, higher product quality, and improved traceability across engineering teams. Key skills and outcomes include:Simulation-driven MBSE - integrating Finite Element Analysis (FEA), Computational Fluid Dynamics (CFD), and Multibody Dynamics (MBD) directly into system models for continuous verification. Digital twin development - creating living, evolving models connected to real-time IoT sensor data for predictive maintenance and operational optimization.
Industry 4. 0 integration - connecting MBSE to smart factories, cloud collaboration, and interoperability standards for seamless manufacturing alignment. AI-augmented MBSE & generative design - leveraging machine learning and optimization algorithms to accelerate innovation and reduce time-to-market.
Autonomous mechanical systems design - embedding control logic, sensor fusion, and safety constraints directly into the engineering model. Throughout the course, you will gain hands-on conceptual knowledge of how MBSE integrates with digital engineering tools to create robust, high-performance mechanical products. By connecting design, simulation, manufacturing, and operational data into a single digital ecosystem, you will master data-driven mechanical engineering at a level required by Industry 4.
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