Data Visualisation

Learning Outcomes

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• Key concepts in data science, including tools, approaches and application scenarios
• State-of-the-art tools to build useful visualisations for different types of data sets and application scenarios
• Topics in information design
• Topics in interaction design and user engagement

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• Understand and apply the fundamental concepts and techniques in data visualisation

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• Solve specific real-world problems related to the visualisation and interpretation of data analysis results

Fundamentals of data visualisation and storytelling

• History of data visualisation
• Planning a visualisation
• Types of data stories and principles to design them
• Types of charts and how to choose them
• Bad design and lying with statistics
• Visual insights: relations and structures
• Visual perception and information design for the mind
• Interactive visualisations
• Online tools and technologies (e.g., Tableau, D3)

Lectures and tutorials. Assessment via coursework (exercises, technical report) and exam.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

Repeat

An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.