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PX5511: DATA VISUALISATION (2023-2024)

Last modified: 05 Oct 2023 08:46


Course Overview

Visualising the outcome of a data analysis is critical to communicate the results. In this course we will study standard and cutting edge visualisation techniques to make sense of data, and present it in a compelling, narrative-focused story.

Presenting and visualising data and reporting on the result of an analysis are a crucial skill when making sense of data.

Course Details

Study Type Postgraduate Level 5
Term Second Term Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Dr Alessandro de Moura

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

In this course we will start discussing standard methods to visualise data, such as histograms, bar charts, different representations of time series, etc. These methods are critical for an exploratory data analysis.

Many modern problems in (big) data analysis require innovative and artistic representation of data so that the analysis can generate maximal impact.


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Computer Programming Exercise

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Computer Programming Exercise

Assessment Type Summative Weighting 50
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Resit Assessments

Computer Programming Exercise

Assessment Type Summative Weighting 100
Assessment Weeks Feedback Weeks

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Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ReflectionCreateLearn how to implement modern data visualisation techniques in the Mathematica scientific environment and programming language.
ReflectionCreateLearn to apply modern data visualisation techniques to find patterns and correlations in data, and test hypotheses.
ReflectionCreateUse modern data visualisation techniques to make compelling presentations; and learn narrative-based approaches to present data (storytelling with data), enhanced by appropriate data visualisation.

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