9 December 2025, 08:30 & 18:00 CET
4 March 2026, 08:30 & 18:00 CET
6 May 2026, 08:30 & 18:00 CEST
The consortium of Metrology Partnership project Metrology for wearable light loggers and optical radiation dosimeters (22NRM05, MeLiDos) have developed a new online course on analysing wearable light exposure and visual experience time-series data in the programming language R.
Who it’s for: Post-docs, PhD students, data scientists, and research-active academics working with wearable time-series data of light in R for light data (and distance, spectrum etc).
Format: Two levels (Beginner & Advanced) will be available. Each level is repeated four times: at two days, with two live webinars per day each (morning & evening, CET) to accommodate global time zones.
Beginner
- 2x 07 October 2025
- 2x 04 March 2026
Advanced Course:
- 2x 9 December 2025
- 2x 6 May 2026
Session length: 90 minutes each (theory + live coding + Q&A).
Certificate: Issued on completion.
What to expect:
- Live walkthroughs of LightLogR’s workflow from import → (pre-)processing → metrics →visualisation.
- Practical, reproducible examples with tidy data principles for both the circadian and visual experience community (including vision science, myopia research).
- Ready-to-reuse code snippets and example datasets.
- Dedicated Q&A with the developer.
- A certificate upon completion.
Prerequisites:
Beginner: Basic familiarity with R. No prior LightLogR experience required.
Advanced: Comfortable with tidy workflows + completion of the beginner level (or equivalent LightLogR experience).
Please see attached document for details of the Beginner and Advanced course.
Contact email address: mailto:johannes.zauner@tum.de
This Metrology Partnership project has received funding from the European Partnership on Metrology, co-financed by the European Union Horizon Europe Research and Innovation Programme and from the Participating States