Ecosystems: modeling and quantification

The objective is to master the modeling and statistical analysis of ecosystem data. Students will need to be able to model complex systems (e.g., plants in a cultivated ecosystem, population dynamics, lake ecosystems). They will also need to know what type of statistical model to use for processing ecological data and how to interpret it.

Introduction to mathematical modeling with applications in ecology - Modeling of lake ecosystems - Random models in population dynamics - Linear models (linear regression, ANOVA, ANCOVA) - Power of statistical tests - Mixed models - Generalized linear models.

Modeling: standard analysis and algebra tools (Taylor expansion, Jacobian matrix of an application, eigenvalues of a matrix, diagonalizing a matrix, etc.). Statistics: concept of statistical testing, comparison of two means, linear model if possible.

Continuous assessment: 100%