Using Digital Twins and Simulation
Digital twins have evolved significantly due to technological advancements, now bridging physical and digital worlds through real-time data connections. This course explores how innovations in data storage, sensors, 3D scanning, cloud computing, AI, Big Data, and IoT have transformed digital twin capabilities. You’ll learn how these technologies impact industries from production and design to construction and research. The course covers key concepts, practical applications, implementation tools, and future trends, providing you with comprehensive knowledge to leverage digital twins in your professional work.
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Course Details
Learning Objectives
By the end of this course, you will be able to:
- Define the key concepts and principles of digital twins and simulations
- Differentiate the characteristics and applications of digital twins versus simulations
- Categorize data types used in digital twins and simulations, and explain how this data is collected
- Match appropriate digital twins and simulation tools for specific professional needs
- Recognize emerging trends in digital twins and simulation technologies