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

 Semester Spring Semester 2020 Lecturers C. Bigler, M. Kalisch, L. Meier Periodicity yearly recurring course Language of instruction German Comment Requirement: enrollment of 401-0624-00L Mathematics IV: Statistics or similar lecture.

### Courses

NumberTitleHoursLecturers
701-0105-00 GMathematik VI: Angewandte Statistik für Umweltnaturwissenschaften2 hrs
 Tue 08:00-10:00 ER SA TZ » 08:15-10:00 HG E 1.1 »
C. Bigler, M. Kalisch, L. Meier

### Catalogue data

 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. Prerequisites / Notice Besuch von "Mathematik IV: Statistik" oder vergleichbare Lehrveranstaltung.Die Schlussprüfung findet am Freitag 12.6.2020 (9:00 - 10:30) statt.

### Performance assessment

 Performance assessment information (valid until the course unit is held again) Performance assessment as a semester course ECTS credits 3 credits Examiners C. Bigler, M. Kalisch, L. Meier Type graded semester performance Language of examination German Repetition Repetition only possible after re-enrolling for the course unit. Additional information on mode of examination 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. Online examination The examination may take place on the computer.

### Learning materials

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

### Groups

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### Restrictions

 There are no additional restrictions for the registration.

### Offered in

ProgrammeSectionType
Environmental Sciences BachelorAdditional Compulsory CoursesO