Statistical & Mathematical Tools


General information

Course name Statistical & Mathematical Tools
Course type Lecture and Exercise
Course code AEF-EM030
Course coordinator Dr. agr. Georg Hörmann
Faculty Faculty of Agricultural and Nutritional Sciences
Examination office
Short summary Data management: organisation of data bases, format conversions, data base functionsDescriptive statistics: mean, standard deviation, confidence interval. Inferential statistics: regression,ANOVA. Biological methods: ordination methods, clustering. Time series analysis: spectral analysis, crosscorrelation, analysis and display of spatial data, use of R as a GIS

Information about study level

Study level Master
Also possible for  

Information about credit points, evaluation and frequency

Evaluation Written Examination
Frequency Winter Term

Information about teaching language

Teaching language English
Minimum language requirement B1
Further information on the teaching language  

Information about requirements

Recommended requirements General computer knowledge, course in basic statistics

Information about course content, reading material, and additional information

Course Content Students learn to apply statistical methods with the R system for statistical analysis for ecological research.After an introduction to data management and data analysis the students learn to use methods for the sta-tistical interpretation of ecological data. Exercises include the use of common procedures for exploratorydata analysis, fundamentals of descriptive and inferential statistics, e.g. means, standard deviation, ANOVA,regressions. Furthermore, students learn specific methods of biological ecology, e.g. similarity coefficients,ordination, multivariate methods. Time series analysis is used to analyze fluctuations and interference bet-ween parameters. A special unit is devoted to the treatment of spatial data
Reading list  
Additional information