300319 UE Practial Course in Modelling of Ecological Systems (2013S)
Prüfungsimmanente Lehrveranstaltung
Labels
first meeting: monday 4.3.2013, 10.15 h, seminar room 2D404, UZA-II, Althanstr 14, 1090
registration in VO 300315 'Modelling ecological systems' mandatory;
time and place: tuesdays 13-15 h, computer room 2F363, UZA-II, Althanstr 14, 1090
registration in VO 300315 'Modelling ecological systems' mandatory;
time and place: tuesdays 13-15 h, computer room 2F363, UZA-II, Althanstr 14, 1090
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 04.02.2013 08:00 bis Do 21.02.2013 18:00
- Abmeldung bis Do 28.03.2013 18:00
Details
max. 20 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine
Zur Zeit sind keine Termine bekannt.
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
In the 'Practical course in Modelling ecological systems' the students will be designing and simulating models concerning standard challenges in population, interaction and community ecology. It is conceived as a hands-on course in parallel with the lecture 300315 "Modelling ecological systems'. Topics that have been presented there will be recapitulated and deepened. We will address deterministic, stochastic and space-explicit approaches. The main themes will be 'growth', 'interactions', 'patterns and self-organisation' and 'networks'.
Art der Leistungskontrolle und erlaubte Hilfsmittel
homework, student's involvment, presence
Mindestanforderungen und Beurteilungsmaßstab
The students will use basic modelling techniques as found in ecology and related fields. The presented techniques are studied on the basis of specific ecological problems. In a hands-on fashion the students will design and simulate models, an overview of state-of-the art approaches in modelization of systems will be acquired.
We will be studying process-oriented models (deterministic, stochastic, discrete, continous and space-explicit), as well as statistic-descriptive models (networks, regression-based).
We will be studying process-oriented models (deterministic, stochastic, discrete, continous and space-explicit), as well as statistic-descriptive models (networks, regression-based).
Prüfungsstoff
practical course using computers, problem-oriented, discussion and presentation of different approaches for problem solution
Literatur
Zuordnung im Vorlesungsverzeichnis
MOE W-1, MMB W-2, MMB W-3, MMI III-2, PIK-2
Letzte Änderung: Mo 07.09.2020 15:43