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
Programme Structure
The program focuses on:
- The main engineering applications
- The value of digital twin technology and model-based design
- The difference between a simulation and a simulator
- MATLAB analysis
- Simulink simulation
- Workflows to interface a digital twin to AR-VR-MR software
- Playback the results of a simulation into AR-VR-MR software
- Run co-simulations between Simulink and AR-VR-MR software (UE4)
- Integrate a physical model in Simulink into AR-VR-MR software
- Simscape
- White, grey, and black-box modelling approaches
- Deployment pipeline for a digital twin in a production system
- Design an engineering model of a digital twin
- Demonstrate integration within a 3D graphics simulator
- How to use AR and VR for modelling
- Augmented reality, virtual reality, and mixed reality
- Building professional AR/VR applications
- The AR/VR landscape for tools, technologies, and services
Key information
Duration
- Part-time
- 12 days
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
Delivered
Disciplines
User Experience Design Software Engineering View 10 other Short Courses in User Experience Design in United KingdomWhat students do after studying Computer Science & IT
This information is based on LinkedIn alumni data for graduates from 2018 to 2024 and may not fully represent all career outcomes
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- The course targets aspiring and seasoned simulation engineers and industry practitioners who want to develop digital twin models.
- Prior knowledge of engineering or built environments in any discipline is preferred, but prior knowledge of coding is optional.
Tuition Fee
-
International
1095 GBP/fullTuition FeeBased on the tuition of 1095 GBP for the full programme during 12 days. -
National
1095 GBP/fullTuition FeeBased on the tuition of 1095 GBP for the full programme during 12 days.