300178 UE Modelling spatial and temporal dynamics of (ecological) animal and plant populations (2020W)
from theory to practice (UE)
Continuous assessment of course work
Labels
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).
- Registration is open from Th 10.09.2020 08:00 to Th 24.09.2020 18:00
- Deregistration possible until Sa 31.10.2020 18:00
Details
max. 10 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
Pre-meeting will take place on the 5.10. 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 05.10. 16:00 - 18:00 Hörsaal (Fakultätszentrum für Biodiversität) Rennweg EG
- Monday 12.10. 16:00 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Monday 19.10. 16:00 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Monday 09.11. 16:00 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Monday 16.11. 16:00 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Monday 23.11. 16:00 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Monday 30.11. 16:00 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Monday 07.12. 16:00 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Monday 14.12. 16:00 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Monday 11.01. 16:00 - 20:00 Seminarraum (Fakultätszentrum für Biodiversität) Rennweg EG
- Monday 25.01. 16:00 - 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
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: Th 08.10.2020 15:11