Unit information: Data-Driven Computer Science in 2021/22

Unit name	Data-Driven Computer Science
Unit code	COMS20011
Credit points	10
Level of study	I/5
Teaching block(s)	Teaching Block 2 (weeks 13 - 24)
Unit director	Dr. Aitchison
Open unit status	Not open
Pre-requisites	COMS10014 Mathematics for Computer Science A or equivalent
Co-requisites	None
School/department	School of Computer Science
Faculty	Faculty of Engineering

Description including Unit Aims

This unit seeks to acquaint students with the fundamental aspects of processing digital data, presented in the context of concrete examples from applications in machine learning, data mining, and (1D/2D) signal processing.

Particular emphasis is placed on the importance of representation and modelling.

Intended Learning Outcomes

On successful completion of this unit, students will:

1. Demonstrate understanding of how audio, video, graphical objects, etc are represented digitally.
2. Appreciate the role of representation, feature extraction, modelling, estimation, clustering, and classification in digital data processing.
3. Appreciate the differences and commonalities between data processing tasks.
4. Demonstrate understanding of the role of training/learning in modelling, classifying and clustering.
5. Be confident working with high-dimensional spaces and associated transformations.
6. Be able to analyse data processing problems and decide what techniques to apply.

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.

Assessment Information

Exam (Summer, 100%)

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. COMS20011).

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.