Postgraduate Module Descriptor

SOCM029: Data Visualisation

This module descriptor refers to the 2019/0 academic year.

Module Aims

The main aims of the module are:

To understand and apply principles of data visualization
To develop skills in capturing and managing data for visualisation
To analyze subject relevant data sets using data visualisation techniques
To learn to quantitatively and qualitatively evaluate existing visualizations
To further develop skills in using the ggplot2 package for R and related packages for data visualisation.

Intended Learning Outcomes (ILOs)
This module's assessment will evaluate your achievement of the ILOs listed here - you will see reference to these ILO numbers in the details of the assessment for this module.
On successfully completing the programme you will be able to:
Module-Specific Skills	1. Demonstrate proficiency in the use of R for data visualisation 2. understand code in R and implement appropriate commands to perform relevant analyses 3. Understand principles of and appropriate use of data visualization to communicate data analysis.
Discipline-Specific Skills	4. Develop coding skills in a way that results in high level of synergies with quantitative research skills. 5. manipulate data in R and use the appropriate analytic tools. 6. interpret output from each program and draw appropriate inference regarding the hypotheses being tested.
Personal and Key Skills	7. Demonstrate understanding of computing skills 8. Demonstrate understanding of data management skills

How this Module is Assessed

In the tables below, you will see reference to 'ILO's. An ILO is an Intended Learning Outcome - see Aims and Learning Outcomes for details of the ILOs for this module.

Formative Assessment

A formative assessment is designed to give you feedback on your understanding of the module content but it will not count towards your mark for the module.

Form of assessment	Size of the assessment (eg length / duration)	ILOs assessed	Feedback method
In-class exercises	15 minutes each x 4	1-8	Peer and oral feedback

Summative Assessment

A summative assessment counts towards your mark for the module. The table below tells you what percentage of your mark will come from which type of assessment.

Coursework	Written exams	Practical exams
100	0	0

...and this table provides further details on the summative assessments for this module.

Form of assessment	% of credit	Size of the assessment (eg length / duration)	ILOs assessed	Feedback method
Practical Exercise 1 using the skills/techniques developed to investigate a research problem relevant to the students chosen discipline.	50	1500 words & up to 5 data figures	1-8	Written Feedback
Practical Exercise 2 using the skills/techniques developed to investigate a research problem relevant to the students chosen discipline.	50	1500 words & up to 5 data figures	1-8	Written Feedback

Re-assessment

Re-assessment takes place when the summative assessment has not been completed by the original deadline, and the student has been allowed to refer or defer it to a later date (this only happens following certain criteria and is always subject to exam board approval). For obvious reasons, re-assessments cannot be the same as the original assessment and so these alternatives are set. In cases where the form of assessment is the same, the content will nevertheless be different.

Original form of assessment	Form of re-assessment	ILOs re-assessed	Timescale for re-assessment
Practical Exercise 1	Practical Exercise 1 (1500 words & up to 5 data figures)	1-8	August/September reassessment period
Practical Exercise 2	Practical Exercise 2 (1500 words & up to 5 data figures)	1-8	August/September reassessment period