300091 VU Biologging Methods (2025S)
Understanding GPS and ACC technology, applications in behavioural ecology and advanced statistical movement analysis
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Do 06.02.2025 14:00 bis Do 20.02.2025 18:00
- Abmeldung bis Sa 15.03.2025 18:00
Details
max. 12 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
Die Vorbesprechung findet am 31. März 2025 um 13:00 Uhr via Zoom statt:
Join Zoom Meetinghttps://univienna.zoom.us/j/62595087523?pwd=63vm8DTh5e0AhIM9cveqfznlSI2ts3.1
Meeting ID: 625 9508 7523
Passcode: 798206Blocklehrveranstaltung: 22. - 25. April 2025, Konrad Lorenz Forschungsstelle in Grünau/Almtal, KLF (https://klf.univie.ac.at/). Anreise Montag Abend, 21.04.; Kursbeginn Dienstag 22.04. 09:00; Abreise Freitag Nachmittag, 25.04. nach 17:00 mit Zug (Wien-Grünau/Almtal Verbindung).
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
- Pre-course assignment: Online R tutorials (8-10 hours) to be completed by April 16PARTICIPATION ON-SITE IS ONLY OPEN TO THOSE WHO HAVE FULFILLED THE PRE-COURSE ASSIGNMENT ON TIME- Active participation on-site during lectures and analysis (60%)
- Post-course assessment: Develop a research question in a group project (3 people), analyse the provided GPS and ACC data, and present findings in a short online presentation on April 30 (15:00 - 17:00; 30 min per group) (40%)
- Post-course assessment: Develop a research question in a group project (3 people), analyse the provided GPS and ACC data, and present findings in a short online presentation on April 30 (15:00 - 17:00; 30 min per group) (40%)
Mindestanforderungen und Beurteilungsmaßstab
- Basic knowledge of wildlife biology & ecology
- Intermediate proficiency in R is required (navigating R and RStudio; understanding basic syntax and functions; importing and exporting data; data manipulation; conducting statistical analyses; creating simple plots with ggplot2)
- Attendance at the online preliminary meeting (incl. waitlisted students) 31 March, 1 pm
- Full participation throughout the course (April 22–25, 2025)
- Presentation of group assignment on April 30, 3 pm
- Intermediate proficiency in R is required (navigating R and RStudio; understanding basic syntax and functions; importing and exporting data; data manipulation; conducting statistical analyses; creating simple plots with ggplot2)
- Attendance at the online preliminary meeting (incl. waitlisted students) 31 March, 1 pm
- Full participation throughout the course (April 22–25, 2025)
- Presentation of group assignment on April 30, 3 pm
Prüfungsstoff
Note: Additional preparation time outside contact hours is required.
Recommended Reading: Check course materials.
Recommended Reading: Check course materials.
Literatur
The R tutorials to prepare the pre-assignment will be provided during the online preliminary meeting.
Recommended Reading: Check course materials on Moodle.
Recommended Reading: Check course materials on Moodle.
Zuordnung im Vorlesungsverzeichnis
CoBeNe 3
Letzte Änderung: Mo 31.03.2025 15:50
This course explores key concepts and examples from our model systems (ravens, geese, ibis, raptors) in animal movement ecology, covers different tracking methods, and introduces GPS and ACC data analysis using R.Course structure:
- Pre-course assignment: Online R tutorials (8-10 hours) to be completed by April 16
- On-site: Lectures and hands-on data analysis in R (April 22–25, 2025)
- Post-course assessment: Develop a research question in a group project (3 people), analyse the provided GPS and ACC data, and present findings in a short online presentation on April 30 (15:00 - 17:00; 30 min per group)