[like] Mandana Khanie reacted to your message: ________________________________ From: Johannes Zauner über lightlogr-users <lightlogr-users@lists.lrz.de> Sent: Thursday, February 26, 2026 5:21:55 AM To: lightlogr-users@lists.lrz.de <lightlogr-users@lists.lrz.de> Subject: Online course: Open and Reproducible Analysis of Light Exposure and Visual Experience Data Dear LightLogR users, Join us next Tuesday, 3 March 2026, for another round of our "Open and reproducible analysis of light exposure and visual experience data – Online course". If you have missed last year's beginner-level session or want a refresher, this one is for you. As an added bonus, participants will get a sneak peek at our next release for personal light exposure analysis: web-based GUI, robust, no coding required, still reproducible. Come have a look! Register here: https://tum-conf.zoom.us/webinar/register/WN_xGoHi1i_Sz2flC6-qGcLoQ#/registr... 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). Coming up: Beginner track with two live webinars (morning & evening, CET) to suit global time zones. Session length: 90 minutes (theory + live coding + Q&A). Certificate: Issued on completion. Prerequisites: Basic familiarity with R. No prior LightLogR experience required For more information, have a look at the course flyer in the attachment. All the best, The LightLogR team