Christof Bigler: Catalogue data in Spring Semester 2020 |
| Name | Prof. Dr. Christof Bigler |
| Address | Inst. f. Terrestrische Oekosysteme ETH Zürich, CHN G 77 Universitätstrasse 16 8092 Zürich SWITZERLAND |
| Telephone | +41 44 632 52 05 |
| Fax | +41 44 632 13 58 |
| 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 |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 701-0105-00L | Mathematics VI: Applied Statistics for Environmental Sciences Requirement: enrollment of 401-0624-00L Mathematics IV: Statistics or similar lecture. | 3 credits | 2G | C. Bigler, M. Kalisch, L. Meier | |
| 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. | ||||
| Learning 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. | ||||