Ecosystems: Modeling and Quantification

The goal is to master the modeling and statistical analysis of ecosystem data. Students will need to be able to model complex systems (such as a plant in a cultivated ecosystem, population dynamics, or a lake ecosystem). They will also need to know which type of statistical model to use for analyzing ecological data and how to interpret it.

Introduction to Mathematical Modeling with Applications in Ecology - Modeling Lake Ecosystems - Stochastic Models in Population Dynamics - Linear Models (Linear Regression, ANOVA, ANCOVA) - Statistical Test Power - Mixed Models - Generalized Linear Models.

Modeling: common analytical and algebraic tools (Taylor series, Jacobian matrix of a mapping, eigenvalues of a matrix, diagonalizing a matrix, etc.). Statistics: the concept of a statistical test, comparing two means, linear models where possible.

Comprehensive ongoing assessment: 100%