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701-0105-00L 3 Credits BSC D-USYS
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Mathematics VI: Applied Statistics for Environmental Sciences

Mathematik VI: Angewandte Statistik für Umweltnaturwissenschaften

Lecturers & Examiners: Prof. Dr. Christof Bigler, Dr. Jan Ernest
Requirement: enrollment of 401-0624-00L Mathematics IV: Statistics or similar lecture.
VVZ CR n/a

Last Updated: 2026-02-05 16:21:30

Abstract

Statistical methods from current publications in the environmental sciences are presented and applied. Students will be able to understand and describe methods, clean datasets, analyse them with the software package R and present results in a suitable form. They will be able to describe strengths and weaknesses of discussed methods for given application areas.

Objective

Students will be able to - use suitable statistical methods for data analysis in their field. - characterize data sets using exploratory methods. - examine data sets for their suitability for answering a given question, prepare data sets for import into a statistics program and conduct the analysis. - interpret statistical analyses and process them graphically for presentations and publications. - describe the basics of statistical methods used in current publications. - apply the software package R for statistical analyses.

Content

Statistische 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 (von Excel zu R; Datenbereinigung); graphische Darstellung von Resultaten; statistische Verfahren in Publikationen verstehen. Wir arbeiten mit dem Softwarepaket R. Form: Im Wochenrhythmus finden alternierend Einführungen in eine neue statistische Methode und Übungsstunden zum Thema statt.

General Information

Language
German
Levels
BSC
Frequency
Yearly recurring

Examination

Type
graded semester performance
Digital
The exam takes place on devices provided by ETH Zurich.
Die Semesternote setzt sich zusammen aus einer Prüfung am Computer und Abgabe von 5 Übungen mit Peer-Feedback. Mit Hilfe des Peer-Feedbacks kann die Note um maximal 0.75 angehoben werden.

Course Components

Type Title Time & Place Hours
lecture with exercise Mathematik VI: Angewandte Statistik für Umweltnaturwissenschaften
  • Tue 08:15-10:00 (HG E 1.1)
2 h weekly

Offered In