CSC-40048 - Visualisation for Data Analytics
Coordinator: Stephen G Linkman Room: CR023 Tel: +44 1782 7 33413
Lecture Time: See Timetable...
Level: Level 7
Credits: 15
Study Hours: 150
School Office: 01782 733075

Programme/Approved Electives for 2021/22

None

Available as a Free Standing Elective

No

Co-requisites

None

Prerequisites

None

Barred Combinations

None

Description for 2021/22

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.

Aims
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; will be achieved by assessments: 1
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; will be achieved by assessments: 1
evaluate theoretical and practical visualisation approaches and assess which are the most appropriate for a given real-world case study; will be achieved by assessments: 2
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. will be achieved by assessments: 2

Study hours

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

School Rules

None

Description of Module Assessment

1: Report weighted 40%
Report on the use of Data Analytics in Business and Research
Students will produce an academic report on the theoretical concepts and contemporary applications of big data in business and/or research. The report will require an evaluation of why a particular approach was taken, how it was carried out and what were the outcomes. The report should be a maximum of 3,000 words.

2: Project weighted 60%
Design and Develop a set of visualisations for a given business/research case study
Students are provided with a set of raw data and must then evaluate appropriate visualisation techniques which they then use to design and develop a set of visualisations which enable conclusions to be drawn by a manager/researcher. Students will produce a report containing justifications for the approach that they have taken; a set of visualisations and related code and development documentation. The project should be the equivalent of 5,000 words.