Unit information: Advanced Visual AI in 2026/27

Please note: Programme and unit information may change as the relevant academic field develops. We may also make changes to the structure of programmes and assessments to improve the student experience.

Unit name Advanced Visual AI
Unit code COMSM0160
Credit points 20
Level of study M/7
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Professor. Achim
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

COMS30030 Image Processing and Computer Vision (Teaching Unit) or equivalent

COMS30035 Machine Learning (Teaching Unit) or equivalent

Units you must take alongside this one (co-requisite units)

COMSM0045 Applied Deep Learning (Teaching Unit) or equivalent

COMSM0159 Advanced Visual AI (Teaching Unit)

Units you may not take alongside this one

None

School/department School of Computer Science
Faculty Faculty of Engineering

Unit Information

Please note, this is the 20 credit MAJOR Assessment Unit for COMSM0159 Advanced Visual AI (Teaching Unit) - see that unit for full information.

Why is this unit important?

Visual AI drives innovation across various domains, including medical diagnostics, surveillance systems, animation, augmented reality, and other impactful applications. This unit equips you to tackle real-world challenges by comprehending and interpreting visual data. Beginning with a focus on the theoretical foundations of model-based and learning-based approaches for Visual AI, the unit then provides cutting-edge solutions for inverse problems, such as superresolution and style transfer. Additionally, it explores the latest generative AI techniques for visual data generation and delves into neural representations for shapes and videos. Through hands-on labs, you'll apply various tools and techniques to real research data, gaining practical experience in the field.

How does this unit fit into your programme of study

This is an optional unit that can be taken in Year 4. This positioning allows students to make use of fundamental skills and knowledge developed during the first 3 years of their study to learn about the state-of-the-art in AI applied to image and videos. This unit will also support the CS with AI programme.

Your learning on this unit

See COMSM0159 Advanced Visual AI (Teaching Unit)

How you will learn

See COMSM0159 Advanced Visual AI (Teaching Unit)

How you will be assessed

Tasks which help you learn and prepare you for summative tasks (formative):

See COMSM0159 Advanced Visual AI (Teaching Unit)

Tasks which count towards your unit mark (summative)

See COMSM0159 Advanced Visual AI (Teaching Unit) for more information

When assessment does not go to plan

See COMSM0159 Advanced Visual AI (Teaching Unit) for more information

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. COMSM0160).

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 University Workload statement relating to this unit for more information.

Assessment
The assessment methods listed in this unit specification are designed to enable students to demonstrate the named learning outcomes (LOs). Where a disability prevents a student from undertaking a specific method of assessment, schools will make reasonable adjustments to support a student to demonstrate the LO by an alternative method or with additional resources.

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. For appropriate assessments, if you have self-certificated your absence, you will normally be required to complete it the next time it runs (for assessments at the end of TB1 and TB2 this is usually in the next re-assessment period).
The Board of Examiners will take into account any exceptional circumstances and operates within the Regulations and Code of Practice for Taught Programmes.