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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 16:06:38

Abstract

Statistical 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.

Objective

Students 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

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 (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.

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