Numerical Algorithms for High Performance Computing
University of Edinburgh · Scotland · EPCC11006
Numerical Algorithms for High Performance Computing is a subject at University of Edinburgh, Scotland. It covers topics like algorithms, computational-biology, computational-mathematics, statistical-computing. It is part of 3 degrees. The information below is compiled from public course material — approximate, not official.
University of Edinburgh
EPCC11006
3.00
Topics covered
Degrees that include Numerical Algorithms for High Performance Computing
- Advanced Technology for Financial Computing (MSc) - 1 Year (Full-Time)
- High Performance Computing with Data Science (MSc) (Full-time)
- Sensing, Processing and AI for Defence and Security (UoE Lead with Heriot-Watt) (PhD with Integrated Study)
Frequently asked questions
What is Numerical Algorithms for High Performance Computing about?
Numerical Algorithms for High Performance Computing covers topics like algorithms, computational-biology, computational-mathematics, statistical-computing.
Which degrees include Numerical Algorithms for High Performance Computing?
Numerical Algorithms for High Performance Computing is part of 3 degrees, including Advanced Technology for Financial Computing (MSc) - 1 Year (Full-Time), High Performance Computing with Data Science (MSc) (Full-time), Sensing, Processing and AI for Defence and Security (UoE Lead with Heriot-Watt) (PhD with Integrated Study).
How many credit points is Numerical Algorithms for High Performance Computing?
Numerical Algorithms for High Performance Computing at University of Edinburgh is typically around 3.00 credit points. Approximate — confirm with the university.
Where is Numerical Algorithms for High Performance Computing taught?
Numerical Algorithms for High Performance Computing is taught at University of Edinburgh, Scotland.
Studying Numerical Algorithms for High Performance Computing?
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Sources: University of Edinburgh public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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