Scientific illustrations – visualising research data
Seminars, Lectures & Colloquia
Analytical Competencies
Media and Digital Technologies
Compactly visualised – cheat sheet with scientific illustrations from the Abstract
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.Learning Objectives
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,
- use various data visualisation tools and programmes,
- cite sources correctly in image captions.
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
Academic Semester
Spring Semester 2024Location
- ETH Zentrum
ETH Bibliothek
Audience Size
1-20 peopleTarget audience
Bachelor students
Master students
Doctoral students
Postdocs
Everyone
Language
GermanComment
You can find the registration for the course under «Open activity webpage».
Accessibility
Access and participation in our courses will be barrier-free. Please contact us in advance at +41 44 632 21 35 or at info@library.ethz.ch so that we can optimally meet your needs.