Ökosystemforschung - M - Statistical and Mathematical Tools in Process Analysis


General information

Course name Statistical and Mathematical Tools in Process Analysis
Course type  
Course code S022
Course coordinator Dr. G. Hörmann
Faculty Institute for Natural Resource Conservation
Examination office  
Short summary Descriptive statistics: mean, standard deviation, confidence interval. Inferential statistics: regression, ANOVA. Biological methods: rarefaction, ordination methods, clustering. Time series analysis: spectral analysis, cross correlation, analysis of spatial data.

Information about study level

Study level Master
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Information about credit points, evaluation and frequency

Evaluation Written examination
Frequency Winter semester

Information about teaching language

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

Information about requirements

Recommended requirements Basic knowledge in computer applications

Information about course content, reading list and additional information

Course Content Students learn to apply statistical methods for ecological research. After an introduction into common computer tools for data management and data analysis (spreadsheets, data bases, shells for statistics modeling) the students learn to use methods for the statistical interpretation of ecological data. Exercises include the use of common computer programs for calculations, e.g. Excel and R, 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 between parameters. A special unit is devoted to the treatment of spatial data.
Reading list  
Additional information