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Unit information: Machine Learning (with Coursework) in 2023/24

Please note: It is possible that the information shown for future academic years may change due to developments in the relevant academic field. Optional unit availability varies depending on both staffing, student choice and timetabling constraints.

Unit name Machine Learning (with Coursework)
Unit code COMS30069
Credit points 15
Level of study H/6
Teaching block(s) Teaching Block 1 (weeks 1 - 12)
Unit director Dr. Rui Ponte Costa
Open unit status Not open
Units you must take before you take this one (pre-requisite units)

See COMS30035 Machine Learning (Teaching Unit).

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

COMS30035 Machine Learning (Teaching Unit).

Units you may not take alongside this one
School/department Department of Computer Science
Faculty Faculty of Engineering

Unit Information

Please note, this is the 15 credit coursework Assessment Unit for COMS30035 Machine Learning (Teaching Unit).

Your learning on this unit

See COMS30035 Machine Learning (Teaching Unit).

How you will learn

See COMS30035 Machine Learning (Teaching Unit).

How you will be assessed

Coursework (100%). This is to be completed in a set period in the Teaching Block.

See COMS30035 Machine Learning (Teaching Unit).


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. COMS30069).

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.

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.