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The following topics will be covered:
• Introduction to data visualisation
• Data visualisation design process
• Data visualisation for AI
• Working with data, data exploration and discovery of hidden patterns in innovative ways
• Data visualisation techniques in non-immersive and immersive environments
• Interactive techniques and user interactions with data
• Interactive analytics
• Data storytelling
• Software Engineering and data visualisation
• Design and development of non-immersive and immersive environments, and technologies for collaborative data visualisation tools
Each student is expected to spend on average three hours per teaching week reading the lecture notes, books chapters and other recommended materials relevant to the topic covered in that week and spend a similar amount of time working on the workshop exercises for that week.