Visualization (2IVM20)

Learn to design special purpose data visualizations

The aim of this course is to introduce students to the theory and practice of data visualization. The course is intended for students who already have a good knowledge of,programming and data structures, and a basic knowledge of linear algebra,calculus,and computer graphics.At the end of the course, the students should be familiar with the aims and problematics of data visualization, and have a good knowledge of the theory, principles, and methods which are frequently used in practice in the construction and use of data visualization applications.

The course covers the theory and practice of data visualization. This addresses several technical topics, such as: data representation; different types of grids; data sampling, interpolation, and reconstruction; the concept of a data set; the visualization pipeline. In terms of visualization application, several examples are treated, following the different types of visualization data: scalar visualization, vector visualization, tensor visualization. Besides these, several additional topics are treated, such as: volume data visualization; domain modeling techniques; and a brief introduction to information visualization. The techniques treated in the course are illustrated by means of several practical, hands-on, examples.

Link to OASE.

The course is provided by dr. M. Westenberg.

Learn to design special purpose data visualizations.