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Deep Learning - COM00049H

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  • Department: Computer Science
  • Credit value: 20 credits
  • Credit level: H
  • Academic year of delivery: 2025-26

Related modules

Pre-requisite modules

Additional information

Pre-Requisite knowledge - Understanding of the theory and practice of Machine Learning. For undergraduates this is covered in intelligent systems modules (for example, INT2 -  Intelligent Systems 2: Machine Learning & Optimisation COM00024I or IMLO - Intelligent Systems: Machine Learning & Optimisation COM00026I).

 

Elective Pre-Requisites

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

A Level Maths or Equivalent plus good understanding of the theory and practice of machine learning.

Module will run

Occurrence Teaching period
A Semester 2 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.