A17 - Visualization

From: June 19 to 23, 2016


Date: June 20 to 24, 2016

Location: Room MF15 in Building MetaForum, Building nr 5, De Groene Loper, TU Eindhoven, Eindhoven.

For instructions how to get there, see


Provisional structure / format


9:30-12:30 Introductory lectures

12:30-13:30 Lunch

13:30-17:30 Introductory lectures


Tuesday – Friday

9:30-10:30 Introduction to exercise

10:30-12:30 Exercise

12:30-13:30 Lunch

13:30-16:30 Exercise

16:30-17:30 Discussion


Course contents

This graduate course is intended for Ph.D. students that are

interested in data visualization and use it or want to use it for

their research. Data visualization aims at providing people insight

into large amounts of data using interactive computer graphics by

exploiting the unique capabilities of the human visual system to

perceive patterns, trends, and outliers. The course aims to provide a

broad overview of data visualization and to engage students via

hands-on exercises.


The first day an overview is provided via a number of lectures,

followed by four days in which specific topics are addressed via

hands-on exercises. The topics are:

  • Information visualization: visualization of abstract data, such as

     tables, hierarchies, networks, and combinations thereof;

  • Visual analytics: the use of a combination of automated analysis and

     interactive visualization, for instance to analyze large multimedia collections;

  • Scientific visualization: visualization of data with a geometric

     component, for instance visualization for medical applications.

  • Hardware acceleration: the use of GPU-shaders to obtain special

     effects in real-time.


Essentially, this course is given for Ph.D. students of the Advanced

School for Computing and Imaging (ASCI). External Ph.D. students may

also attend after a moderate fee of 500 euro. It is assumed that the

student has some background in computer graphics, but not

specifically in visualization.


The students are expected to work in groups of two on the exercises

on one of the 10 computers that are available and have all software

installed. The maximum number of participants is 20. The course will

be concluded by a small project. Students are asked to apply insights

obtained during the course on their own work, and to report back on

that on a day to be scheduled later.


Lecturers Jack van Wijk (TU/e)

Prof.dr. Marcel Worring (UvA)

Dr. Michel Westenberg (TU/e)

Dr. Andrei Jalba (TU/e)


 ASCI Tweets