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  Applied Statistics for Environmental Sciences

SemesterAutumn Semester 2016
LecturersC. Bigler, U. Brändle, M. Kalisch, L. Meier
Periodicityyearly recurring course
Language of instructionGerman



Catalogue data

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; gemischte Modelle für gruppierte Daten (mixed-effects models); Fragebogenstatistik; Tests (t Test; Chiquadrat Test; Fisher Test); Power-Analyse

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

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits3 credits
ExaminersC. Bigler, U. Brändle, M. Kalisch, L. Meier
Typegraded semester performance
Language of examinationGerman
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationDie Semesternote setzt sich zusammen aus einer Prüfung am Computer (60%) und 5 bewerteten Übungen mit Peer-Feedback (40%).
Online examinationThe examination may take place on the computer.

Learning materials

No public learning materials available.
Only public learning materials are listed.

Courses

NumberTitleHoursLecturers
701-0105-00 GMathematik VI: Angewandte Statistik für Umweltnaturwissenschaften2 hrs
Fri08-10HG E 41 »
23.09.08-10HG D 1.1 »
C. Bigler, U. Brändle, M. Kalisch, L. Meier

Groups

No information on groups available.

Restrictions

There are no additional restrictions for the registration.

Offered in

ProgrammeSectionType
Environmental Sciences BachelorMethodes of Statistical Data AnalysisWInformation