Autumn Semester 2020 takes place in a mixed form of online and classroom teaching.
Please read the published information on the individual courses carefully.

701-0105-00L  Mathematics VI:Applied Statistics for Environmental Sciences

SemesterAutumn Semester 2018
LecturersC. Bigler, M. Kalisch, L. Meier
Periodicityyearly recurring course
Language of instructionGerman
CommentThis course is mandatory for students for whom the study regulation 2016 is binding.

Requirement: successful completion of 401-0624-00L Mathematics IV: Statistics.

This course will be offered in autumn semester 2018 (for students who started in autumn 2016) and in spring semester 2019 (for students who started in autumn semester 2017).

This course will be offered in spring semester only starting with the study year 2019/20.


AbstractStatistical methods from current publications in environmental sciences are presented and applied. Students are enabled to understand the methods, clean datasets, analyse them using the software package R and present the results in a suitable form. They will be able to describe strengths and weaknesses of the methods for given fields of application.
ObjectiveStudents are able to
- use suitable statistical methods for data analysis in their subject area.
- characterize data sets using explorative methods
- check the suitability of data sets to answer a given question, prepare data sets for import to a statistics program and conduct the analysis.
- interpret statistical analyses and process them graphically for use in presentations and publications.
- describe the basics of statistical methods used in current publications.
- use the software package R for statistical analysis
ContentStatistische Methoden: Regression (lineare Modelle; generalisierte lineare Modelle, GLMs); Varianzanalyse (ANOVA); gemischte Modelle für gruppierte Daten (mixed-effects models); Fragebogenstatistik; Tests (t Test)

Werkzeuge: Explorative Datenanalyse für Hypothesenbildung; Auswahlverfahren für geeignete statistische Verfahren; Datenaufbereitung (Excel -> R; Datenbereinigung); graphische Darstellung von Resultaten; statistische Verfahren in Publikationen erkennen.
Wir arbeiten mit dem Softwarepaket R.

Form: Im Wochenrhythmus finden alternierend Einführungen in eine neue Methode und Übungsstunden zum Thema statt.
Prerequisites / NoticeBesuch von "Mathematik IV: Statistik" oder vergleichbare Lehrveranstaltung