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Variational Methods for Partial Differential Equations (MATH0092) | UCL

University College London · England · MATH0092

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Variational Methods for Partial Differential Equations (MATH0092) | UCL is a subject at University College London, England. It covers topics like computational-mathematics, differential-equations, engineering-mathematics, mathematical-economics. It is part of 4 degrees. The information below is compiled from public course material — approximate, not official.

University
University College London
Code
MATH0092
Credit points
3.00

Topics covered

computational-mathematicsdifferential-equationsengineering-mathematicsmathematical-economics

Degrees that include Variational Methods for Partial Differential Equations (MATH0092) | UCL

Frequently asked questions

What is Variational Methods for Partial Differential Equations (MATH0092) | UCL about?

Variational Methods for Partial Differential Equations (MATH0092) | UCL covers topics like computational-mathematics, differential-equations, engineering-mathematics, mathematical-economics.

Which degrees include Variational Methods for Partial Differential Equations (MATH0092) | UCL?

Variational Methods for Partial Differential Equations (MATH0092) | UCL is part of 4 degrees, including Mathematics and Statistical Science BSc, Mathematics and Statistical Science MSci, Mathematics MPhil/PhD, Mathematics with Economics MSci.

How many credit points is Variational Methods for Partial Differential Equations (MATH0092) | UCL?

Variational Methods for Partial Differential Equations (MATH0092) | UCL at University College London is typically around 3.00 credit points. Approximate — confirm with the university.

Where is Variational Methods for Partial Differential Equations (MATH0092) | UCL taught?

Variational Methods for Partial Differential Equations (MATH0092) | UCL is taught at University College London, England.

Studying Variational Methods for Partial Differential Equations (MATH0092) | UCL?

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Sources: University College 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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