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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