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Unit information: Image Processing and Computer Vision (Teaching Unit) in 2021/22

Please note: you are viewing unit and programme information for a past academic year. Please see the current academic year for up to date information.

Unit name Image Processing and Computer Vision (Teaching Unit)
Unit code COMS30030
Credit points 0
Level of study H/6
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Professor. Mirmehdi
Open unit status Not open
Pre-requisites

COMS10014 Mathematics for Computer Science A and COMS10013 Mathematics for Computer Science B or equivalent.

COMS10016 Imperative and Functional Programming and COMS10017 Object-Oriented Programming and Algorithms I or equivalent programming experience.

COMS20010 Algorithms II and COMS20011 Data-Driven Computer Science or equivalent.

Co-requisites

EITHER Assessment Units COMS30032 Image Processing and Computer Vision (Exam assessment, 10 credits).

OR COMS30068 Image Processing and Computer Vision (Coursework assessment, 20 credits).

Please note:

COMS30030 is the Teaching Unit for the Image Processing and Computer Vision option.

Single Honours Computer Science and Mathematics and Computer Science students can choose to be assessed by either examination (10 credits, COMS30032) or coursework (15 credits, COMS30068) by selecting the appropriate co-requisite assessment unit.

Any other students that are permitted to take the Image Processing and Computer Vision option are assessed by examination (10 credits) and should be enrolled on the co-requisite exam assessment unit (COMS30031).

School/department School of Computer Science
Faculty Faculty of Engineering

Description including Unit Aims

The aim of this unit is to give you an introduction to computational vision: the theory, principles, techniques, algorithms and applications. The unit is structured in terms of topics, each associated to a lecture, a follow-up seminar, laboratory sessions and self-study. For each topic, we will cover the underlying theory, the practical challenges, important algorithms and example applications. Practical implementation work will be conducted individually, with lab support, using C/C++ and OpenCV

Intended Learning Outcomes

On successful completion of this unit, students will be able to:

  1. Demonstrate understanding of and be able to apply basic theoretical concepts and practical techniques used in image processing and computer vision.
  2. Have knowledge of and be able to apply key image analysis and manipulation software.
  3. Develop software solutions for image analysis applications.

Teaching Information

Teaching will be delivered through a combination of synchronous and asynchronous sessions, including lectures, practical activities supported by drop-in sessions, problem sheets and self-directed exercises.

Teaching will take place over Weeks 1-7, with coursework support in weeks 9-11 and for students assessed by examination, consolidation and revision sessions in Weeks 12.

Assessment Information

Examination details:

2 hour exam (100%, 10 credits)

OR

Coursework details:

Coursework (100%, 15 credits) - to be completed during a specific period.

Resources

If this unit has a Resource List, you will normally find a link to it in the Blackboard area for the unit. Sometimes there will be a separate link for each weekly topic.

If you are unable to access a list through Blackboard, you can also find it via the Resource Lists homepage. Search for the list by the unit name or code (e.g. COMS30030).

How much time the unit requires
Each credit equates to 10 hours of total student input. For example a 20 credit unit will take you 200 hours of study to complete. Your total learning time is made up of contact time, directed learning tasks, independent learning and assessment activity.

See the Faculty workload statement relating to this unit for more information.

Assessment
The Board of Examiners will consider all cases where students have failed or not completed the assessments required for credit. The Board considers each student's outcomes across all the units which contribute to each year's programme of study. If you have self-certificated your absence from an assessment, you will normally be required to complete it the next time it runs (this is usually in the next assessment period).
The Board of Examiners will take into account any extenuating circumstances and operates within the Regulations and Code of Practice for Taught Programmes.

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