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Module Specifications

Archived Version 2016 - 2017

Module Title
Module Code
School

Online Module Resources

NFQ level 9 Credit Rating 7.5
Pre-requisite None
Co-requisite None
Compatibles None
Incompatibles None
Description

This module aims to develop an understanding of the management and structuring of large datasets. This module will develop an understanding of critical role of data quality and data governance. Techniques for data visualization, particularly of large datasets, will be investigated.

Learning Outcomes

1. Analyse the requirements of applications handling large datasets.
2. Demonstrate an ability to efficiently structure a large dataset.
3. Implement data quality measures.
4. Identify and implement appropriate data visualization techniques.



Workload Full-time hours per semester
Type Hours Description
Total Workload: 0

All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml

Indicative Content and Learning Activities

Data Collection
Volume, Velocity, Variety and Veracity; Parsing structures and unstructured data

Data Management
Optimizing data management; queries and impact on data management; information lifecycle; mapping, transformation and pre-processing. Data Annotations and meta-data

Data Quality
Accuracy; Completeness; Relevance; Consistency across data sources; Reliability; Accessibility

Data Visualisation
What is data visualisation? Visualisation basics; Traditional forms of data visualization; Visualising multi-dimensional data; Visualising large datasets (geo-spatial data, temporal data); Interactive visualization

Platforms for Data Visualisation

Assessment Breakdown
Continuous Assessment% Examination Weight%
Course Work Breakdown
TypeDescription% of totalAssessment Date
Reassessment Requirement
Resit arrangements are explained by the following categories;
1 = A resit is available for all components of the module
2 = No resit is available for 100% continuous assessment module
3 = No resit is available for the continuous assessment component
Unavailable
Indicative Reading List

    Other Resources

    None
    Programme or List of Programmes
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