| Titel | Zeit | Ort | Dozent |
|---|---|---|---|
| Unlock the power of (creative) data visualisation | 27.05.2025 09:30 - 17:00 (Di) | TUM Graduate School: Boltzmannstr. 17, 85748 Garching bei München, Room 101 | Hannah Kunde |
| Individual online coaching sessions | 28.05.2025 09:30 - 17:00 (Mi) | online | Hannah Kunde |
This course will provide participants with the skills and insights to create effective data visualisations while avoiding common pitfalls.
Combining hands-on practice with creative approaches, the workshop will encourage participants to develop an intuition for data visualisation and explore new ways to represent data clearly and effectively.
- Improved Visualisation Skills: Participants will learn to apply core data visualisation principles to create clearer, more impactful representations.
- The Power of Sketching: Participants will learn how to use quick, rough sketches to explore ideas, refine concepts, and gather meaningful feedback.
- Critical Evaluation Techniques: Participants will develop the ability to critically assess and improve visualisations for clarity and effectiveness, and learn how to ask for valuable feedback from anyone to enhance their work.
- Awareness of Ethical Concerns: Participants will learn to recognise when others use misleading visuals, and they will learn to create accurate and reliable visualisations that don’t mislead their audiences.
Before the course, a short homework assignment will help participants explore data visualisations in their field. The first course day (face-to-face) will include short inputs, group discussions, and hands-on exercises in pairs and small groups. Participants will also work independently, reflecting and working on their own visualisations. Throughout the course, they will be encouraged to think creatively about data and data visualisations, experimenting with unconventional formats and materials like pen and paper.
On the second course day, participants will have individual 30-minute coaching sessions for personalised feedback.
At the beginning of the doctorate | during the doctorate | at the end of the doctorate
None.
Laptop/tablet with stable internet connection, microphone, webcam, Zoom (in most cases).
Participants will receive an email at least one week before the course with a homework assignment (which takes about an hour to complete) that must be finished and uploaded at least 24 hours before the course begins.
Please bring your laptop or tablet, coloured pencils (if available), and a data visualisation you wish to work on - even if it is a work in progress. This could include a simple or complex graph for a manuscript, a slide for a presentation, a poster, or any other visual format.
Participants will get personalised feedback in a 30-minute coaching session on the second day. Please block the whole day as indicated otherwise we cannot assign you a time slot!
Hannah Kunde holds a degree in Psychology with a focus on Learning Sciences and is currently completing her PhD at the intersection of leadership research, experimental/cognitive psychology, and neuroscience, with her dissertation to be submitted soon. Her passion for data and data visualisations began during her Master's. Throughout her PhD, she developed and taught the data visualisation course she always wished existed during her studies. Hannah is excited to share her knowledge and help doctoral candidates enhance their data visualisation skills.