ECTS
2 credits
Training Structure
College of Sciences
List of Courses
Choose 1 of 3
Agroforestry
2 credits15hA Bayesian Approach to Variability
2 creditsStrategic Analysis of Environmental Management
2 credits
Agroforestry
ECTS
2 credits
Training Structure
College of Sciences
Number of hours
15h
A Bayesian Approach to Variability
ECTS
2 credits
Training Structure
College of Sciences
1. Bayesian inference: Motivation and a simple example.
2. The likelihood.
3. A detour to explore priors.
4. Markov chain Monte Carlo (MCMC) methods
5. Bayesian analyses in R using the Jags software.
6. Compare scientific hypotheses using model selection (WAIC).
7. Heterogeneity and multilevel models (also known as mixed models).
Strategic Analysis of Environmental Management
ECTS
2 credits
Training Structure
College of Sciences
Strategic Analysis of Environmental Management (SAEM) is a theoretical framework that provides a basis for analyzing a management situation based on a clearly articulated environmental concern. It sheds precise light on the exercise of environmental responsibility in relation to the exercise of other collective responsibilities, within the context of a pluralistic debate. By identifying the basic structures of environmental management situations, particularly in international contexts, it provides criteria that, on the one hand, explain the difficulties environmental public policies face in gaining prominence relative to other areas of public policy—particularly development policies — and, on the other hand, make it possible to identify opportunities to promote changes that lead to greater accountability for environmental issues. The module is structured around two key components: (1) The presentation of various action research studies that utilize this analytical framework to illustrate the application of the ASGE’s analytical frameworks, (2) A guided assignment that combines the critical analysis of environmental project documents with the development of a proposal for an alternative action research study using the ASGE framework, which is presented and discussed collectively at the end of the module.