Universität Wien

300082 VU Introduction to ecological modelling (2023W)

(Data Analysis and modelling)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Prüfungsimmanente Lehrveranstaltung
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 12 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

The course will be held in blocked form from 8-19 January 2024
The preliminary meeting will take place on Oct 5th, 2 - 3 p.m., Seminar room 2.1 (2nd floor) University of Vienna Biology Building (UBB), Djerassiplatz 1, 1030 Vienna

  • Montag 08.01. 09:00 - 12:00 Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
  • Montag 08.01. 13:15 - 18:15 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Dienstag 09.01. 09:00 - 15:00 Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
  • Dienstag 09.01. 15:00 - 18:15 Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
  • Mittwoch 10.01. 09:00 - 12:00 Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
  • Mittwoch 10.01. 13:15 - 18:15 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Donnerstag 11.01. 09:00 - 12:00 Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
  • Donnerstag 11.01. 13:15 - 18:15 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Freitag 12.01. 09:00 - 12:00 Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
  • Freitag 12.01. 13:15 - 18:15 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Montag 15.01. 09:00 - 12:00 Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
  • Montag 15.01. 13:15 - 18:15 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Dienstag 16.01. 09:00 - 12:00 Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
  • Dienstag 16.01. 13:15 - 18:15 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Mittwoch 17.01. 09:00 - 12:00 Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
  • Mittwoch 17.01. 13:15 - 18:15 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Donnerstag 18.01. 09:00 - 12:00 Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
  • Donnerstag 18.01. 13:15 - 18:15 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
  • Freitag 19.01. 09:00 - 12:00 Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
  • Freitag 19.01. 13:15 - 18:15 Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The course will provide an introduction into ecological modelling. We will present and discuss common ecological modelling concepts, ranging from classical population dynamics models and biogeochemical models to spatially explicit and individual-based models, and the modelling of emergent system behaviour. Our focus will be how ecological theory can be translated into models, and how models can be used to get a better understanding of the behaviour and dynamics of ecological systems.

The course will be held in a blocked form between 8th and 19th January 2024. The first week will consist of a mixture of lectures in the morning and practical exercises in the afternoon (full days) to become familiar with common modelling concepts and techniques. The second week will be used for individual group work. Students will work together in small groups (2-3) to address a chosen research question using the tool box of ecological modelling, with course instructors being available for guidance and support. Results of this group work will be presented and discussed in a final seminar day.

We will use R and netlogo. We will offer a crash-course into basic programming techniques if needed.

The course will take place in person in Seminar and computer rooms in the UBB. In case there will be COVID restrictions, it will be switched to an online format.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Participants will work on a chosen topic independently in small groups of 2-3 persons by building a model to adress a specific research question. You are required to hand in model code and documentation, write a brief report, and give an oral presentation on your results.

Mindestanforderungen und Beurteilungsmaßstab

Basic knowledge of R is of advantage - we recommend to have taken at least one introductory R course beforehand. Programming skills would be helpful, but are not required. You need to attend at least 80% of the lectures and practical exercises. The grade will be based on active participation during the course (20%) and the group modelling project (80%).

Prüfungsstoff

Oral presentation of the group modelling project, model code, documentation and brief report. Active participation throughout the course.

Literatur

Zuordnung im Vorlesungsverzeichnis

MEC-6, M-WZB, MZO W4, MNB2

Letzte Änderung: Mi 13.12.2023 14:26