Universität Wien FIND

300178 UE Modelling spatial and temporal dynamics of (ecological) animal and plant populations (2019W)

from theory to practice (UE)

5.00 ECTS (3.00 SWS), SPL 30 - Biologie
Continuous assessment of course work

Registration/Deregistration

Details

max. 20 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Pre-meeting will take place on the 7.10. from 4:00 to 4:15pm. Subsequently, the first lesson will start. Please bring your own computer (a limited number of computers will be available)

Monday 07.10. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 14.10. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 28.10. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 04.11. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 11.11. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 18.11. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 25.11. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 02.12. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 09.12. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 16.12. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 13.01. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 20.01. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
Monday 27.01. 16:15 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG

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) or after consultation

Examination topics

Final presentation of own results

Reading list

tba

Association in the course directory

MBO 5, MEC-5, MZO W-9, WZB (Master Naturschutz und Biodiversitätsmanagement, Master Zoologie, Master Molecular Biology)

Last modified: Tu 01.10.2019 17:48