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 |
Co-requisites |
None |
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.
60% summer timed assessment, 40% coursework.
Course notes will be provided at the start of the lectures. The following book contains material for advanced study: