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PX5019: DATA VISUALISATION (2024-2025)

Last modified: 23 Jul 2024 11:08


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 First 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

The goal of this course is to teach you how to use data visualisation effectively. More precisely:

  • You will learn what kinds of graphs are appropriate for different data;
  • You will learn how to find hidden patterns in data, and test hypotheses, by choosing the appropriate graphical representation;
  • You will learn how to craft graphs so that they tell a story, and make a point, and are maximally effective in communicating and convincing others.

We will do all this by using Mathematica. Having the power of a fully-fledged programming language allows us total freedom to customise graphs in any way we want; we can even create entirely new kinds of plots from scratch, if we need to. In addition, plots in Mathematica are not confined to being static entities: we can make them come alive, and turn plots into mini-apps that respond to inputs in many ways. In this course, you will master Mathematica's data visualisation capabilities.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


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

Look up Week Numbers

Feedback
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.
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.
ReflectionCreateLearn to apply modern data visualisation techniques to find patterns and correlations in data, and test hypotheses.

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