Statistics

Starting from scratch for analyzing biological data: describing, testing, and modeling simple experimental protocols;

Getting to know fundamental properties of linear models dealing with simple regressions and simple ANOVAs;

Incorporating into models the essence of biological data: collinearity, dependence, spatial structure, laws that are not normal....

Representing data and results from models.

Being able to develop an experimental protocol or field observations that match a biological question;

Being able to build a model to analyze biological data with all their imperfections;

Being able to understand the protocols and models published in recent papers;

Being able to construct a model that answers biological questions using statistical tools.

fearless about mathematical notations

 any experience with R is a plus

Continuous assessment: 100%

Hourly volumes:

            CM: 12 p.m.

            Tutorial: 9 a.m.

            Practical work: 0 hours

            Field: 0 hours

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            SPS: 0 hours

            Seminars: 0 hours

            Outside UM: 0 hours