Course content
The course will primarily use students own data. In the beginning of the course each student should give an oral presentation of the background for their data, problems/hypothesis to be addressed. By intellectual teamwork/discussions and skilled supervising, good graphical presentations will be suggested, followed by relevant statistical analysis. Relevant statistical methods will be presented shortly in theory and practise. A short presentation of multivariate methods will be given, but a detailed and more developed introduction will be given in the PhD-course Bio-8514. The main platform for graphical presentation and statistical analysis will be the program SYSTAT, but introduction to other relevant programs could also be a possibility.
Prerequisites
Local admission, application code 9371 - - Master`s level singular course. Admission requires a Bachelor`s degree (180 ECTS) or equivalent qualification, with a major in biology of minimum 80 ECTS.
Learning outcomes
Increase master students competence in graphical presentation and statistical analysis. Theory and practical work at PC-laboratory will be given in full classes, but individual supervising will also be given. By this, students should be able to present, interpret and statistically evaluate own data. Develop their ability to critical thinking and increase interpretation skills. Students should also be able to choose, use and present results from multivariate analyses. Be able to use standard programs for presentation and statistical analysis of biological data.
Files/Documents
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