| 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 | Professor. Mirmehdi |
| Open unit status | Not open |
| Units you must take before you take this one (pre-requisite units) |
COMS10014 Mathematics for Computer Science A or equivalent |
| Units you must take alongside this one (co-requisite units) |
None |
| Units you may not take alongside this one | |
| School/department | School of Computer Science |
| Faculty | Faculty of Engineering |
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.
On successful completion of this unit, students will:
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.
Exam (Summer, 100%)
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 University 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. 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.
