Core Module Information
Module title: Data Analytics

SCQF level: 11:
SCQF credit value: 20.00
ECTS credit value: 10

Module code: SET11122
Module leader: Pierre Le Bras
School School of Computing, Engineering and the Built Environment
Subject area group: Computer Science


Description of module content:

The aim of this module is to enable you to develop a deep understanding of the fundamentals of data analytics, and to give you opportunities to practise a set of popular data analytical tools. Topics covered include:

*Data Pre-processing – data quality, data cleaning, data preparation
*Data Analytics – techniques of analysing data, such as classification, association, clustering and visualisation, including a variety of machine learning methods that are widely used in data mining

* Post processing – data visualisation, interpretation, evaluation

This module will use tools such as OpenRefine, Weka and Tableau for standard and structured data

The Benchmark Statement for Computing specifies the range of skills and knowledge that should be incorporated in computing courses. This module encompasses cognitive skills in Computational Thinking, Modelling and Methods and Tools and practical skills in deployment and use of tools and critical evaluation in addition to providing useful generic skills for employment.

Learning Outcomes for module:

LO1: Critically understand the concepts and process of data analytics
LO2: Critically evaluate methods/techniques in data analytics
LO3: Apply data analytics algorithms to datasets to conduct data analysis and visualisation, by using data analytical tools
LO4: Critically interpret and evaluate results generated by analytical techniques
LO5: Investigate current research topics in data analytics

Full Details of Teaching and Assessment

Indicative References and Reading List - URL:
SET11122 / SET11822 Data Analytics