Unit name | Data Analytics and Modelling in Health |
---|---|
Unit code | EMATM0046 |
Credit points | 10 |
Level of study | M/7 |
Teaching block(s) |
Teaching Block 2 (weeks 13 - 24) |
Unit director | Professor. Santos-Rodriguez |
Open unit status | Not open |
Pre-requisites |
None |
Co-requisites |
None |
School/department | School of Engineering Mathematics and Technology |
Faculty | Faculty of Engineering |
The aim of this unit is to allow students to acquire fundamental skills covering the full data science pipeline, including pre-processing, manipulation, integration, storage, modelling, exploration, visualisation and privacy.
Unit content:
Having completed this unit, the student is expected to:
This unit will be made up of a combination of taught lectures and Q&A sessions.
Group project suggested by health care stakeholders that demonstrates the full data analysis pipeline for a particular dataset, including a discussion of possible alternative approaches at each step.
Selected literature, references and online material will be provided at the start of the unit