KV5036 - Computer Vision

What will I learn on this module?

This module will give you a good understanding of the implementation and programming of computer vision systems. You will be taught the fundamental concepts of how computers are used to gain insight into the contents of images and videos.

You will develop a computer vision system that is designed for a specific application, for example the detection and classification of speed limit signs for an autonomous car, the detection and recognition of a face for secure access systems, or the detection and classification of human activity in a video.

How will I learn on this module?

You will learn the core material from a series of lectures and lab sessions that cover the fundamentals of computer vision systems and how they are programmed using current practices. The labs will provide you with progressive hands-on experience of developing and programming computer vision systems.

How will I be supported academically on this module?

You will be supported by formal lectures and interactive lab sessions as well as supplementary material and reading lists from the University’s e-learning platform.

What will I be expected to read on this module?

All modules at Northumbria include a range of reading materials that students are expected to engage with. The reading list for this module can be found at: http://readinglists.northumbria.ac.uk
(Reading List service online guide for academic staff this containing contact details for the Reading List team – http://library.northumbria.ac.uk/readinglists)

What will I be expected to achieve?

Knowledge & Understanding:
ML01. Demonstrate a wide ranging knowledge and understanding of computer vision systems including the techniques, tools, design, development and testing of these systems.
ML02. Demonstrate an understanding of user, professional, ethical, social, and economic issues and risks surrounding the design, development, implementation, and operation of computer vision systems.
ML03. Demonstrate a critical knowledge and understanding of the software engineering principles required when developing computer vision systems.

Intellectual / Professional skills & abilities:
ML04. Demonstrate computational thinking in terms of the analysis and design of computer vision systems. This should include the selection of available approaches i.e., methods, theories, tools, and algorithms.

Personal Values Attributes (Global / Cultural awareness, Ethics, Curiosity) (PVA):
ML05 – Demonstrate engagement with computer vision literature and peer reviewed research.

How will I be assessed?

Summative assessment will be a research report (100%) that brings together all the new skills you have learned from a combination of taught material and your own engagement with the research literature. The word limit of the report will be 3500 words. You will receive both informative and confirmatory feedback on your assessments.

This assessment addresses Module Learning Outcomes – ML01, ML02, ML03, ML04 and ML05

On an on-going basis you will also receive formative feedback on exercises you are required to complete in lab sessions.





Module abstract

This module will teach you the theory, principles and practice behind the development of computer vision systems. Indicative topics include: Principles of image representation in computers, domain transformation of images, image filtering, edge detection, feature extraction, object detection and classification. The taught theory will be complimented by research rich learning as well as computer vision system development. You will apply what you have learned in the lectures, labs and your own research to an assessed piece of work where you will design and develop a computer vision system that is able to detect and classify images in a video stream. The module aims to provide you with some experience of programming computer vision systems as implemented in industry and so enhance your employability in that field.

Course info

UCAS Code G411

Credits 20

Level of Study Undergraduate

Mode of Study 3 years Full Time or 4 years with a placement (sandwich)/study abroad

Department Computer and Information Sciences

Location City Campus, Northumbria University

City Newcastle

Start September 2024 or September 2025

Fee Information

Module Information

All information is accurate at the time of sharing. 

Full time Courses are primarily delivered via on-campus face to face learning but could include elements of online learning. Most courses run as planned and as promoted on our website and via our marketing materials, but if there are any substantial changes (as determined by the Competition and Markets Authority) to a course or there is the potential that course may be withdrawn, we will notify all affected applicants as soon as possible with advice and guidance regarding their options. It is also important to be aware that optional modules listed on course pages may be subject to change depending on uptake numbers each year.  

Contact time is subject to increase or decrease in line with possible restrictions imposed by the government or the University in the interest of maintaining the health and safety and wellbeing of students, staff, and visitors if this is deemed necessary in future.


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