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Processing and Analysis of Biological Data 7.5 cr


Schedule: The course is given part time (50%) with lectures in the mornings and exercises in the afternoons two days a week during November–January. Participants may need to spend some time for the exercises between scheduled events. For your planning, you will have access to the exercises in advance. The course can be taken in parallell to BIOS13 Modelling Biological Systems which also is given part-time

Content: Introduction to SPSS/R, binomial-, poisson- and normal distribution, descriptive statistics and graphs, hypotheses testing, t-test, ANOVAs, correlation, regression, multiple and non-linear regression, chi-square, G-tests, log-linear modelling, logistic regression and survival, discriminant, PCA and cluster analyses.

Examination: There will be a home assignment at the end of the course.

Credits: Completion of the course renders 7.5 ECTS.

Teachers: Per-Erik Isberg (Dept. of Statistics), lectures
Jessica Abbott (Evolutionary Ecology, course leader), exercises

Computers and software: This year the choice of software is up to the student, but instructions for the exercises will only be provided for SPSS and R. Computers (PC:s) will be available, but feel free to bring your own. To do all exercises in SPSS, ver. 12 or higher with extra modules (e.g. Advanced and Regression models) is necessary. If you are interested in using R, a short introduction will be provided before the course starts. It is strongly recommended that you attend this introduction if you would like to use R during the course.

Page Manager:

Study coordinator

Lotta Persmark
Study advisor
Education office

Telehone: +46 46-222 37 28
E-mail: Lotta [dot] Persmark [at] biol [dot] lu [dot] se

Course coordinator

Jessica Abbott
Evolutionary Ecology

Telephone: +46 46-222 93 04
E-mail: Jessica [dot] Abbott [at] biol [dot] lu [dot] se

Course literature

Gerry P Quinn and Michael J Keough. 2002. Experimental Design and Data Analysis for Biologists, Cambridge University Press.

Course period



Preliminary schedule (pdf)

Resit exam occasions

Resit exams