Universität Wien
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300178 UE Modelling spatial and temporal dynamics of (ecological) animal and plant populations (2024W)

from theory to practice (UE)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work
Moodle
Th 23.01. 08:30-11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 18 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

PLEASE NOTE THAT THE COURSE WILL ONLY START ON THURSDAY 10TH OCTOBER AT 8:30!

  • Thursday 10.10. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Thursday 17.10. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Thursday 24.10. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Thursday 31.10. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Thursday 07.11. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Thursday 14.11. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Thursday 21.11. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Thursday 28.11. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Thursday 05.12. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Thursday 12.12. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Thursday 09.01. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Thursday 16.01. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG
  • Thursday 30.01. 08:30 - 11:00 Übungsraum 3 (Fakultätszentrum für Biodiversität) Rennweg 1.OG

Information

Aims, contents and method of the course

This course aims at introducing students to ecological modelling and the respective process from theoretical model development to its implementation. More precisely, the students will formulate research questions, based on ecological theory that will subsequently be formalized into mathematical formulas and afterwards implemented in the statistical programming language R. Finally, after learning and discussing different simplistic model types (e.g. population models, dispersal models), the course will go a step further to combine the different models into more complex and realistic models with interacting components. After successful completion, the students will be equipped with the necessary skills to formulate theoretical models to tackle a specific biological problem, translate the theoretical assumptions into mathematical formulas, implement these in R and evaluate the model outcomes and their ecological relevance.

Assessment and permitted materials

Presence
Fulfillment of practicals and reading literature
Final presentation

Minimum requirements and assessment criteria

basic knowledge in R (e.g. successful participation in an introductory R course).
presence 20%
practicals 20%
final presentation 60%

Examination topics

Handing in the practicals
Final presentation of own results

Reading list

(Does not have to be purchased or prepared in advance)
Soetart & Herman – A practical Guide to Ecologcial Modelling. Springer
Gotelli – A primer of Ecology. Sinauer
Otto & Day . A Biologist‘s Guide to Mathematical Modelling in Ecology and Evolution. Princeton University Press
Caswell – Matrix Population Models. Sinauer

Association in the course directory

MBO 5, MEC-5, MBO 7, MEC-9, M-WZB (Master Molecular Biology)

Last modified: Th 10.10.2024 14:06