CSC-40048 - Module Specification
School of Computer Science and Mathematics
Faculty of Natural Sciences

Programme/Approved Electives for 2024/25

Available as a Free Standing Elective

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2024/25

The information age is characterised by large amounts of data generated as part of an ever-widening range of day-to-day activities. When properly analysed this data can lead an organisation to better decision-making, insight, and competitive advantage.
The module aims to equip learners with an appropriate understanding of the use of Data Analytics within areas such as health, security, science and business. The module also aims to equip learners with a variety of Data Visualisation techniques to make sense of the emergence and growth of big data.

This module aims to explore how organisations can use data analytics and how this relates to the information needs of different stakeholders.
It will also cover different data visualisation techniques.
Furthermore, the module will explore evaluation and application of the most appropriate visualisations for a given situation, explaining the benefits and limitations of these techniques.

Intended Learning Outcomes

appraise contemporary uses and theoretical concepts from the academic literature in big data and their impact on areas such as business intelligence: 1
evaluate theoretical and practical visualisation approaches and assess which are the most appropriate for a given real-world case study: 1
design and develop appropriate visualisations for a given real-world case study to enable analysis and decision making in either a business or academic research context: 2
evaluate and interpret how data analytics can be applied to a range of case studies in big data and report the analysis and conclusions in an academic format: 2

Study hours

Lectures 22 hours.
Practical 22 hours.
Assignment 40 hours.
Independent Learning 66 hours

School Rules

Knowledge of Programming is essential. Students not having a background in Programming are required to attend the course CSC-40044 (System Design and Programming) offered by the department.

Description of Module Assessment