F20DV - Data Visualisation and Analytics
Course leader(s):
Syllabus
1. Analytics (1.1 Data Analytics, 1.2 Networks, 1.3 Beyond Analytics)
2. Visualisation (2.1 Introduction to Data Visualisation, 2.2 Visualisation Components, 2.3 Storytelling and Perception, 2.4 Space and Time)
3. Design & Interaction (3.1 Interaction, 3.2 Dashboards, 3.3 Design and Evaluation)
Learning outcomes
By the end of the course, students should be able to do the following:
- Demonstrate a detailed understanding of data analysis and data visualisation processes
- Demonstrate extensive knowledge of visualisation and interaction paradigms
- Apply appropriate analysis and visualisation techniques to investigate datasets with different data types and complex data structures
- Compose visual mapping and interaction techniques to design and implement complex and interactive data visualisation systems
- Demonstrate an awareness of the perception of data visualisations by humans and the implication for design choices
- Communicate and work in collaboration with peers or specialists
- Use structured and reusable approaches to develop data visualisation systems
Further details
Curriculum explorer: Click here
SCQF Level: 10
Credits: 15
