Information Visualisation

Aim

After completing the course, the student should be able to:

• assess the use of advanced techniques for analysis of large complex data sets
• reflect on the relevance of perception in the interpretation of interactive representations
• apply standard methods for evaluation of interactive information visualization applications
• implement interactive applications for information visualization

Content

The lectures provide the theoretical framework necessary to work with information visualization. These cover methods for interactive visualization of large complex data sets, common in areas such as: product development, health-care, process control, bioinformatics, etc. The lectures will also cover perception and methods for evaluation. The labs will focus on the implementation of interactive information visualization and here students work in small groups to make practical use of techniques to analyze abstract datasets. In a final project assignment, the student gets the opportunity to specialize in a specific field of information visualization.