Module 4: Workshop on Data Visualisation

Dates - Venue - Description - Schedule - Target audience - Exam
Course prerequisites - Teacher - Course material - Fees - Enrol

Date

Thursday January 12, 2017, from 9 am to 4 pm. (Please note that the information in the brochure is incorrect.)

Venue

Faculty of Science, Site Sterre, Krijgslaan 281, building S9, Ghent

Description

Do you need to visualise your data? Do you want to know how visualisations are done in other fields to get inspired to make more interesting visualisations? Then this workshop is for you!

You will learn what you need to make simple but powerful visualisations using Python and the Visualisation Toolkit (VTK). Python is a programming language that is much more straightforward to use than C++ and therefore enables you to easily make use of the visualisation capabilities provided by VTK.

The content covers fundamental Visualisation techniques and their relation to Computer Graphics. The basics of Python and VTK will be explained followed by hands on exercises that will give you the practical experience you need. Then, both 3D and 2D visualisations are discussed as well as how to use stereo efficiently.

Schedule

9 am - 10 am Computer Graphics & Visualisation
10 am - 12 pm Python and VTK
12 pm - 1 pm Lunch
1 pm - 3 pm Exercises
3 pm - 4 pm 2D, 3D and stereo

Target audience

All researchers who need to visualise their research data.

Exam

There is no exam connected to this module. Participants receive a certificate of attendance via e-mail at the end of the course.

Course prerequisites

The course is open to all interested persons.

Some basic programming experience is required. The fundamentals of Python will be covered.

Teacher

Pasfoto Anders Hast

Anders Hast received a PhD in Computerised Image processing at Uppsala university in 2004. Besides computer graphics and mathematics, also parallel programming and visualisation were important parts of his PhD studies. Since 2007 he has been working half time at UPPMAX as an application expert in scientific visualisation. In 2011 he spent one year at IIT, CNR, Pisa in Italy as an ERCIM fellow and after that he received a full time position as associate professor at Uppsala University. Since then the research has focused on computer vision and image processing, especially for cultural heritage applications. Since 2014 Anders is the director of Swedish eScience Education.

Course material

Hand-outs of slides.

Fees

Different prices apply, depending on your main type of employment.

EmploymentModule 4Exam
Industry/Private sector1 300 n/a
Non-profit, government, university outside AUGent2 135 n/a
(Doctoral) student outside AUGent2 105 n/a

1 If three or more employees from the same company enrol simultaneously for this course a reduction of 10% on the module price is taken into account.

2 AUGent staff and AUGent doctoral students who pay through use of an SAP internal order/invoice can participate at these special rates.

Enrol for this course