300082 VU Introduction to ecological modelling (2023W)
(Data Analysis and modelling)
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 07.09.2023 14:00 to Th 21.09.2023 18:00
- Deregistration possible until Su 15.10.2023 18:00
Details
max. 12 participants
Language: English
Lecturers
- Christina Kaiser
- Ksenia Guseva
- Cornelia Rottensteiner (Student Tutor)
Classes (iCal) - next class is marked with N
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., 2.129 Seminar room 2.1 (2nd floor) University of Vienna Biology Building (UBB), Djerassiplatz 1, 1030 Vienna
Monday
08.01.
09:00 - 12:00
Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
Monday
08.01.
13:15 - 18:15
Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
Tuesday
09.01.
09:00 - 15:00
Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
Tuesday
09.01.
15:00 - 18:15
Seminarraum 1.8, Biologie Djerassiplatz 1, 1.007, Ebene 1
Wednesday
10.01.
09:00 - 12:00
Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
Wednesday
10.01.
13:15 - 18:15
Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
Thursday
11.01.
09:00 - 12:00
Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
Thursday
11.01.
13:15 - 18:15
Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
Friday
12.01.
09:00 - 12:00
Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
Friday
12.01.
13:15 - 18:15
Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
Monday
15.01.
09:00 - 12:00
Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
Monday
15.01.
13:15 - 18:15
Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
Tuesday
16.01.
09:00 - 12:00
Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
Tuesday
16.01.
13:15 - 18:15
Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
Wednesday
17.01.
09:00 - 12:00
Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
Wednesday
17.01.
13:15 - 18:15
Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
Thursday
18.01.
09:00 - 12:00
Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
Thursday
18.01.
13:15 - 18:15
Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
Friday
19.01.
09:00 - 12:00
Seminarraum 2.1, Biologie Djerassiplatz 1, 2.129, Ebene 2
Friday
19.01.
13:15 - 18:15
Seminarraum 1.6, Biologie Djerassiplatz 1, 1.011, Ebene 1
Information
Aims, contents and method of the course
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 five 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.
Assessment and permitted materials
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.
Minimum requirements and assessment criteria
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%).
Examination topics
Oral presentation of the group modelling project, model code, documentation and brief report. Active participation throughout the course.
Reading list
Association in the course directory
MEC-6, M-WZB, MZO W4, MNB2
Last modified: We 13.12.2023 14:26