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  3. Computational Teaching

Computational Teaching

Computational Teaching (comp-teach) and Computational Research (comp-research) provide managed computational environments for teaching and research within Queen Mary University of London. 

 

Comp-Teach supports taught modules by providing preconfigured computing environments via services such as JupyterHub. It is used for subjects such as AI, machine learning, data science, big data, and software engineering. The Jupyter Notebook format supports interactive teaching material, data analysis, coding exercises and simulation work across a range of disciplines. 

 

Students access CPU and GPU resources through an online platform. No local software installation is required. Teaching teams deliver practical content within a consistently managed environment. 

 jupyter hub interface

Schools seeking further information about computational teaching environments may make contact. 

 

For enquiries, please email comp-teach@qmul.ac.uk 

 

kube interface

Comp-Research is a School of Electronic Engineering and Computer Science (EECS) research resource. Access is provided through a Kubeflow portal for academic staff and postgraduate researchers within the School. 

 

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