Module Code: H8DV
Long Title Data Visualization
Title Data Visualization
Module Level: LEVEL 8
EQF Level: 6
EHEA Level: First Cycle
Credits: 5
Module Coordinator: ANTHONY PAUL STYNES
Module Author: Margarete Silva
Departments: School of Computing
Specifications of the qualifications and experience required of staff  
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Analyse the theory and concepts relating to visualization design and data representation
LO2 Analyze and distinguish between visualization techniques for specific problems to enable effective communication of data analysis.
LO3 Design, develop, and implement processes for data visualization.
LO4 Propose a suitable visualization design for a particular combination of data characteristics and application.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is required before enrolment on this module. While the prior learning is expressed as named NCI module(s) it also allows for learning (in another module or modules) which is equivalent to the learning specified in the named module(s).
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Entry requirements  
 

Module Content & Assessment

Indicative Content
Introduction
 What is Data Visualization?  Characteristics of Data, Data Types and Information  Communication through visualization
Visualization Design
 Principles of data visualization  Graphical integrity  Clarity of data representation  Elements of visual design (layout, colour, fonts, labelling etc.)
Data Visualizations
 Vector fields and flow data  Time-varying data  High-dimensional data: dimension reduction, parallel coordinates  Non-spatial data: multi-variate, tree/graph structured, text
Evaluation of Visualization Methods
 Small and large data sets  Suitable visualization design  Data and application characteristics
Applications of Visualization
 Scientific, medical, mathematical data  Flow visualization  Spatial Analysis
Assessment Breakdown%
Coursework100.00%

Assessments

Full Time

Coursework
Assessment Type: Project (0050) % of total: 40
Assessment Date: n/a Outcome addressed: 2,3,4
Non-Marked: No
Assessment Description:
Learning outcomes may be assessed through a project in which learners must choose and acquire a set of raw data; design, develop, and document a process for preparing the data through to implementing an interactive or a number of static data visualizations; analyse the results; and provide an evaluation of the correct use of data and visual techniques that were implemented. Student must then present their project work.
Assessment Type: Continuous Assessment (0200) % of total: 60
Assessment Date: n/a Outcome addressed: 1,2,3,4
Non-Marked: No
Assessment Description:
Students are given small sample data sets and are required to work together to develop a basic visualization of some feature of that dataset. Basic domain information will be provided. Complexity of lab assessments will scale appropriately with student learning.
No End of Module Assessment
No Workplace Assessment
Reassessment Requirement
Coursework Only
This module is reassessed solely on the basis of re-submitted coursework. There is no repeat written examination.

NCIRL reserves the right to alter the nature and timings of assessment

 

Module Workload

Module Target Workload Hours 0 Hours
Workload: Full Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 12 Every Week 12.00
Tutorial No Description 12 Every Week 12.00
Independent Learning No Description 101 Every Week 101.00
Total Weekly Contact Hours 24.00
Workload: Part Time
Workload Type Workload Description Hours Frequency Average Weekly Learner Workload
Lecture No Description 12 Every Week 12.00
Tutorial No Description 12 Every Week 12.00
Independent Learning No Description 101 Every Week 101.00
Total Weekly Contact Hours 24.00
 

Module Resources

Recommended Book Resources
  • Kirk, A. (2016), Data Visualization, Sage Publishing, [ISBN: 978147391214].
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: