School of Computer Science

Module 06-32245 (2022)

Storing and Managing Data

Level 4/M C

Felipe Orihuela-Espina Alexander Krull Semester 1 20 credits
Co-ordinator: Felipe Orihuela-Espina
Reviewer: Alexander Krull
The Module Description is a strict subset of this Syllabus Page.

Outline

Managing, curating, and assuring the quality of data is an essential part of the data scientist’s role. This module will introduce students to the central concepts and tools needed for the effective management of data. Topics covered will include database systems, data cleansing, quality assurance, data provenance. The module will also address legal and ethical issues associated with data storage, including the requirements of data protection legislation.

Learning Outcomes

On successful completion of this module, the student should be able to:

  • Design and implement databases using appropriate technology
  • Work effectively with existing datasets and databases
  • Develop and apply a set of quality criteria for a dataset, using appropriate data cleansing tools and techniques to curate the data.
  • Understand and be able to apply the core principles of relevant legal frameworks to ensure that data is being held in accordance with relevant legislation

Assessment

  • Main Assessments: 1.5 hour examination (50%) and continuous assessment (50%)
  • Supplementary Assessments: 1.5 hour examination (100%)

Programmes containing this module