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300325 UE Multivariate statistische Methoden in der Ökologie - UE (2013W)
Prüfungsimmanente Lehrveranstaltung
Labels
Vorbesprechung/First meeting: 14.10.2013, 9:00, HS II.
Dates: Blocked course December 16-20 2013, Seminarroom Dep. Limnology (Ebene 3). Further dates upon agreement. Course language is English if necessary. Lecture "Multivariate statistical methods in ecology" in combination with lab course (same name).
Dates: Blocked course December 16-20 2013, Seminarroom Dep. Limnology (Ebene 3). Further dates upon agreement. Course language is English if necessary. Lecture "Multivariate statistical methods in ecology" in combination with lab course (same name).
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Fr 06.09.2013 08:00 bis Mo 23.09.2013 18:00
- Abmeldung bis Do 31.10.2013 18:00
Details
max. 15 Teilnehmer*innen
Sprache: Deutsch, Englisch
Lehrende
Termine
Zur Zeit sind keine Termine bekannt.
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Statistical data analysis in ecology: descriptive statistics, univariate statistical tests (t-tests, U-test, analysis of variance), bivariate data analysis (correlation, linear and non-linear regression), selected regression models (multiple linear regression, ANCOVA, GLM, GAM), selected ordination methods (principal component analysis, non-metric multi-dimensional scaling)
Art der Leistungskontrolle und erlaubte Hilfsmittel
Presence throughout the course is necessary. Lecture (VO) mark is based on written examination about theoretical contents of the block course part. Lab course (UE) mark is based on presence and commitment during the course (UE 50 %), and (team-) presentations about independently analysed dataset (UE 50 %).
Mindestanforderungen und Beurteilungsmaßstab
Successful participants will be able to graphically and statistically analyze complex multivariate ecological datasets and prepare these data for oral presentation or publication.
Prüfungsstoff
The course is scheduled as one block in December 2013 (Dec-16 to Dec-20) and some additional dates in January 2014. Lectures and practical sessions interweave flexibly during the first week, short introductory lectures will be followed by hands-on practical sessions using the statistical language R. No experience in R is needed. The course starts with an overview of univariate and bivariate methods, followed by a focus on multivariate methods for two days. The lecture also explains backgrounds of statistical thinking, hypothesis testing, study planning and experimental design. The block course is followed by independent home-based team work. Teams of 2 students each will work on specific ecological datasets, which will be graphically and statistically analyzed under guidance. The course then finishes with student presentations to be given during a 1-day seminar in January (date open).
Literatur
Course Handout will be provided.Further literature:
Quinn, G. P. & M. J. Keough. 2002. Experimental Design and Data Analysis for Biologists. Cambridge University Press, Cambridge, 537 pp.
Dalgaard, P. 2008. Introductory Statistics with R (Series: Statistics and Computing). Springer Verlag, New York, 364 pp.
Quinn, G. P. & M. J. Keough. 2002. Experimental Design and Data Analysis for Biologists. Cambridge University Press, Cambridge, 537 pp.
Dalgaard, P. 2008. Introductory Statistics with R (Series: Statistics and Computing). Springer Verlag, New York, 364 pp.
Zuordnung im Vorlesungsverzeichnis
MEC-5, MOE I-3
Letzte Änderung: Mo 07.09.2020 15:43