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Course Outline

Introduction to Digital Twins

  • Core concepts and the evolution of digital twin technology.
  • Key applications in manufacturing, energy, and logistics sectors.
  • Overview of digital twin architecture and its lifecycle.

System Modeling and Simulation

  • Simulating dynamic systems using Simulink.

Real-Time Data Integration

AI and Machine Learning in Digital Twins

Visualization and Dashboards

Case Study: Developing a Digital Twin Prototype

Maintenance and Scaling of Digital Twins

Conclusion and Future Directions

Requirements

  • A foundational understanding of system modeling or industrial operations.

Target Audience

 21 Hours

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