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School of Engineering and Informatics (for staff and students)

Computer Vision (996G5)

Computer Vision

Module 996G5

Module details for 2025/26.

15 credits

FHEQ Level 7 (Masters)

Module Outline

The module emphasises practical techniques and apprentices will be introduced to appropriate software packages (within the Python programming language).

Indicative Content
• The functions of vision
• Finding image structure
• Feature descriptors
• Object detection and segmentation
• Tracking and active vision

Module learning outcomes

Express originality in the application of knowledge through writing and documenting a computer program to extract useful information from image data.

Initiate original designs for simple computer vision systems.

Demonstrate the applicability of a variety of computer vision techniques to practical problems.

Evaluate methodologies and recognise the effects of a variety of image processing operations.

TypeTimingWeighting
Coursework100.00%
Coursework components. Weighted as shown below.
TestT2 Week 8 (1 hour)20.00%
ReportA2 Week 1 80.00%
Timing

Submission deadlines may vary for different types of assignment/groups of students.

Weighting

Coursework components (if listed) total 100% of the overall coursework weighting value.

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The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.

School of Engineering and Informatics (for staff and students)

School Office:
School of Engineering and Informatics, ÄûÃÊÊÓƵ, Chichester 1 Room 002, Falmer, Brighton, BN1 9QJ
ei@sussex.ac.uk
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