Digital Twins - Enhancing Model-Based Design with AR, VR and MR

Overview

What you will learn

The Digital Twins - Enhancing Model-Based Design with AR, VR and MR course offered by University of Oxford , you will learn the following:

• The use of Machine learning and Deep Learning techniques (collectively referred to as artificial intelligence (AI)) in developing and deploying digital twins

• How to use simulation techniques with digital twins. 

• Modelling digital twins using augmented reality (AR), virtual reality (VR), and other strategies for complex problems.  

• Learning and pedagogy in AR/VR systems for education

• Responsible AI for digital twins

• AR/VR and digital twins

• Simulation techniques for digital twins: agent-based modelling, systems dynamics, discrete event simulation

• Applying digital twins to 'model-based design.' Model-based design help engineers and scientists design and implement complex dynamic systems using virtual (digital) modelling technologies. As a result, you can iterate your design through fast, repeatable tests. In addition, you can automate the end-to-end lifecycle of your project by connecting virtual replicas of physical components in a digital space. Once the system is modelled as a twin, various existing and new engineering problems, such as predictive maintenance and anomaly detection, can be modeled and simulated. 

• Implementing digital twins in Python, MATLAB (MathWorks), and Unity – but prior knowledge of these systems is not needed. 

• Application of digital twins to manufacturing and construction problems

• Using the digital twin to design and implement use cases and services in the metaverse