Scientific illustrations – visualising research data
Scientific illustrations are an essential method for presenting your research data in a clear, comprehensible manner. While graphics should ideally be self-explanatory, they often raise many questions and are misinterpreted. There are some rules that help avoid this. This course introduces central principles of representation and teaches the main steps for creating scientific visualisations.
Lecturer Dr Andreas Müller (Image: ETH Library | | Maurizio Orlanduccio)
Registration
| Title | Date | Duration | No. Places available/total |
|---|---|---|---|
| Scientific illustrations – visualising research data (German) | 27.05.2025 | 60 min | 12 / 16 |
Content
- Various forms of graphic representation and their use
- Choosing the right diagram type
- Important principles of design and representation
- Data visualisation tools and programs
Learning targets
At the end of the course, you will be able to
- observe scientific foundations for creating visual representations.
- use visual forms of representation and various types of diagrams.
- choose the right diagram type for your purpose.
Target audience
- Bachelor students
- Master students
- Doctoral students
- Scientific staff
- Technical and administration staff
- Scientifically interested individuals
Accessibility
Access to and participation in our courses will be barrier-free. Please contact us in advance at +41 44 632 21 35 or at so that we can optimally meet your needs.
