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Mathematical Techniques & Machine Learning - PHY00059I

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  • Department: Physics
  • Credit value: 20 credits
  • Credit level: I
  • Academic year of delivery: 2025-26

Related modules

Pre-requisites:  Mathematical, Computational and Professional Skills I and II or equivalent

Elective Pre-Requisites

These pre-requisites only apply to students taking this module as an elective.

Mathematical, Computational and Professional Skills I and II or equivalent

Module will run

Occurrence Teaching period
A Semester 1 2025-26

Module aims

Information currently unavailable

Module learning outcomes

Information currently unavailable

Indicative assessment

Task % of module mark
Essay/coursework 100.0

Special assessment rules

None

Indicative reassessment

Task % of module mark
Essay/coursework 100.0

Module feedback

Information currently unavailable

Indicative reading

Information currently unavailable


The information on this page is indicative of the module that is currently on offer. The University constantly explores ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary. In some instances it may be appropriate for the University to notify and consult with affected students about module changes in accordance with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.