Course content

The course is aimed at students in biology and biotechnology. Introduction to R, multiple regression, analysis of variance, analysis of categorical data, basic principles for statistical inference, simulation, properties of estimators, statistical power, numerical maximisation of the likelihood function, some asymptotic results, model selection, generalized linear models, mixed models, survival analysis, bayesian statistics, simulation of determnistic and stochastic models in discrete time, numerical solution of ordinary differential equations.

Learning outcome

The course aims at giving students in biology and biotechnology a broad introduction to statistical models and basic principles of statistical inference useful in later masterstudies.

Learning methods and activities

Lectures and compulsory computer exercises. Written final examination is the basis for the grade awarded in the course. Examination in the autumn may be given as an oral examination.

Compulsory assignments

• Exercises

Recommended previous knowledge

ST0103 Statistics with applications, MA0001 Mathematical Methods A and MA0002 Mathematical methods B or equivalent.

Course materials

Will be announced at the start of the course.

Credit reductions