5 ECTS Dresden Year 1 Semester 2 Elective Environmental sciences UWFMT24
Content
Contents of the module are central statistical procedures, basic techniques of experimental design, data collection, data processing and data analysis as well as mathematical basics of forest biometrics and applied statistics, statistical decision problems and test procedures. Further contents of the module are the development of statistical models in the statistical development environment R/RStudio, the management and analysis of data as well as the solving of tasks and the critical discussion of the results. The module also covers current, discipline-specific approaches such as spatial statistics, time series analyses and quantitative network analyses.
Learning outcomes
Students are able to apply basic and common statistical methods in forest sciences. They are able to use these methods competently for the planning and implementation of forestry research. Students are familiar with conducting statistical analyses with the statistical software R. They can create data tables, manage data sets, and write scripts for data visualization and analysis in R. They have detailed, comprehensive knowledge of basic statistical methods such as linear models and generalized linear models as well as qualitative and quantitative methods for analysing socio-economic data. Students will also be able to select suitable statistical methods for a given data set, conduct analyses in R independently, interpret the results correctly and present all statistical methods and results used in oral and written form to a specialist audience.
Teaching and learning methods
1 WTH lecture, 3 WTH exercise, self-study.
Type of assessment
- Individual
- Other
The credit points are earned when the module examination has been passed. The module examination consists of a complex assignment of 35 hours. The examination language is English.
Institution(s)
- Location: Dresden
- ECTS granting: Technische Universität Dresden
- Organisation: Technische Universität Dresden
