Data and Information Visualization

This course prepares students to explain the principles of visual perception and visualisation design, design effective data and information visualisations to support the analysis and interpretation of artificial intelligence model results, and build interactive dashboards for decision making. Study materials: Data Management (DM), Artificial Intelligence (AI), Human-Computer Interaction (HCI), Graphics and Interactive Techniques (GIT).

Topics

1. Principles of visual perception and visualisation design
2. Data types and choice of chart type
3. Visualisation of multidimensional data
4. Interactive visualisation
5. Visualisation of artificial intelligence model results
6. Dashboard design for decision making
7. Evaluation of visualisation effectiveness

Each course outcome derives from one programme outcome.

1. CPMK0803

   Students are able to design effective data and information visualisations to support the analysis and interpretation of artificial intelligence model results.

   CPL08
2. CPMK-AIDE-02

   Students are able to build an applied decision basis by optimising computing performance through simultaneous processing, and apply the principles of computing ethics

   CPLP03

CPL08

Analyse and implement artificial intelligence concepts to solve problems in various domains.

CPLP03

Develop advanced artificial intelligence models and manage big data, and build applied decision support with attention to optimal performance and computing ethics.