Module overview
Welcome to the Data Visualisation module! In this course, you would learn about the terminology, concepts and techniques behind visualising data, and will get to use a range of tools to get experience of creating visual representations of data. You will gain an understanding of how humans perceive data, and why certain techniques can greatly enhance the effectiveness of any visualisation. We will look at example images to critique them, building up knowledge about what works, and what doesn't. The course will include a mix of lectures, tutorials, seminars and hands-on exercises.
Aims and Objectives
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
- Topics in interaction design and user engagement
- Topics in information design
- State-of-the-art tools to build useful visualisations for different types of data sets and application scenarios
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
Syllabus
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)
Learning and Teaching
Teaching and learning methods
Lectures and tutorials. Assessment via coursework (exercises, technical report) and exam.
| Type | Hours |
|---|---|
| Completion of assessment task | 67 |
| Wider reading or practice | 29 |
| Lecture | 18 |
| Tutorial | 18 |
| Follow-up work | 9 |
| Preparation for scheduled sessions | 9 |
| Total study time | 150 |
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Continuous Assessment | 100% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Set Task | 100% |
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.
| Method | Percentage contribution |
|---|---|
| Set Task | 100% |
Repeat Information
Repeat type: Internal & External