# Christof Bigler: Catalogue data in Spring Semester 2020

 Name Prof. Dr. Christof Bigler Address Inst. f. Terrestrische OekosystemeETH Zürich, CHN G 77Universitätstrasse 168092 ZürichSWITZERLAND Telephone +41 44 632 52 05 Fax +41 44 632 13 58 E-mail christof.bigler@env.ethz.ch URL http://www.fe.ethz.ch/die-gruppe/personen/person-detail.html?persid=58107 Department Environmental Systems Science Relationship Adjunct Professor

NumberTitleECTSHoursLecturers
701-0105-00LMathematics VI: Applied Statistics for Environmental Sciences
Requirement: enrollment of 401-0624-00L Mathematics IV: Statistics or similar lecture.
3 credits2GC. Bigler, M. Kalisch, L. Meier
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.
Learning 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.
Die Schlussprüfung findet am Freitag 12.6.2020 (9:00 - 10:30) statt.