Advanced topics in scientific visualization with Blender: geometry, scripts, animation, action!

This course is a follow-up to our introductory Blender course. We assume you are familiar with working with Blender and have some experience with topics such as the Blender UI, 3D meshes, materials, lighting and cameras.

Vrouw wijst op scherm met visualisatie van zeestromingen
17 — 31 May 2022

What will you learn in this course?

In this course you will learn a number of advanced Blender topics:

* The basics of the Python API that is available in Blender. You will learn how the API is structured and eventually start making some simple geometry with code. This can be used, for example, for writing custom import scripts or to perform operations that you would otherwise do manually.

* The node-based shader editor that is used to create and edit materials. In our introductory Blender course we did go into detail on materials, but without describing the node-based shader networks that are the basis of materials. Here, we go deeper into these node network and how to edit them.

* More advanced animation topics, such as shape keys.

Another important part of the course is that you will work on a visualisation based on your own research or other endeavours.

Course duration

The basis of the course is self-paced training during the two-week course period, using course materials that we provide (videos and exercises) and with three short online sessions (17th, 24th and 31st May). During the course period you can work on the materials in your own pace. We provide a Discord communication channel with the course teachers that you can use for questions and feedback during the course. We use a small number of online plenary sessions spread over the indicated two-week period, beginning with an introductory webinar and two follow-up feedback sessions. These are used to discuss your projects and make sure you are able to make progress.

Your own project and data

To get the most out of the course we would like you to use a dataset from your work (or sample thereof) that you want to use for visualisation with Blender. Alternatively, we have a back-up dataset to work with, but it most likely will originate from a different scientific domain than your own. So please collect some data you think would be great to make 3D visualisations of and that you are comfortable with.

During the online sessions we would like you to present your visualisation goals, your data, and your progress at making a visualisation with Blender. During the interactive moments our visualisation team will help you further with your specific project and challenges.

More information and registration 

We are organising this course in collaboration with PRACE. For more information and registration, see: