ML for Materials Discovery
Queen Mary University of London · England · SPC723P
ML for Materials Discovery is a subject at Queen Mary University of London, England. It covers topics like data-mining, knowledge-discovery, machine-learning, materials-science. It is part of 4 degrees. The information below is compiled from public course material — approximate, not official.
Queen Mary University of London
SPC723P
3.00
Topics covered
Degrees that include ML for Materials Discovery
- Artificial Intelligence and Machine Learning in Science MSc
- Materials Science BEng
- Materials Science FdCert
- Polymer Materials Science and Engineering BEng (Northwestern Polytechnical University)
Frequently asked questions
What is ML for Materials Discovery about?
ML for Materials Discovery covers topics like data-mining, knowledge-discovery, machine-learning, materials-science.
Which degrees include ML for Materials Discovery?
ML for Materials Discovery is part of 4 degrees, including Artificial Intelligence and Machine Learning in Science MSc, Materials Science BEng, Materials Science FdCert, Polymer Materials Science and Engineering BEng (Northwestern Polytechnical University).
How many credit points is ML for Materials Discovery?
ML for Materials Discovery at Queen Mary University of London is typically around 3.00 credit points. Approximate — confirm with the university.
Where is ML for Materials Discovery taught?
ML for Materials Discovery is taught at Queen Mary University of London, England.
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Sources: Queen Mary University of London public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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