CHOIX2

1. Bayesian inference: Motivation and simple example. 

2. The likelihood. 

3. A detour to explore priors. 

4. Markov chains Monte Carlo methods (MCMC)

5. Bayesian analyses in R with the Jags software.  

6. Contrast scientific hypotheses with model selection (WAIC).

7. Heterogeneity and multilevel models (aka mixed models. 

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The general objective is to present human evolutionary biology, proposing to mobilize the tools of evolutionary biology to better understand human behaviors and those observed in non-human primates in the context of their evolutionary history. Themes such as health, sociality, culture, local adaptations, language, morality, reproduction and sexual preferences are addressed within the theoretical framework of evolutionary biology and ecology. EU contents: Anthropology, human sciences and evolutionary biology / Evolution of cooperation / Cultural evolution / Evolution of nutrition / Evolution of sociality in primates / Family ecology / Medicine, public health and evolution / Evolution of language / Evolutionary demography / The origins of equity.

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1. Bayesian inference: Motivation and simple example. 

2. The likelihood. 

3. A detour to explore priors. 

4. Markov chains Monte Carlo methods (MCMC)

5. Bayesian analyses in R with the Jags software.  

6. Contrast scientific hypotheses with model selection (WAIC).

7. Heterogeneity and multilevel models (aka mixed models. 

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The courses present 4 aspects of Conservation Biology, based on current scientific research in this discipline:  

1. Introduction to Biodiversity Conservation(BC): definition of Conservation Biology. Why conserve biodiversity? Who are the main players in BC and the role of science in BC. 
2. Species conservation: What are the priority species? How can species be conserved? How do you know if a species is "well conserved"? 
3. Space conservation: What are the priority spaces? How to conserve spaces? 
4. Theimportance of social acceptability and political commitment. Need for biodiversity indicators and to measure the impact of conservation. 

Students also carry out group work in which they present a BC project, based on the questions: why, what, where, how, how much does it cost and how do we know if it's effective? 

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The aim of this course is to deepen understanding of key concepts relating to climate change, to illustrate important concepts in ecology and evolution in the light of climate change, in many different ecosystems, and to produce a synthesis of the various scientific and societal questions and issues raised by CC.

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Quantitative genetics is a discipline that emerged in the early 20th century to understand the heredity of continuous traits, i.e. the majority of traits of agronomic interest (yield, etc.) or evolutionary interest (life-history traits, morphology). It is therefore an essential tool for understanding, modeling and predicting natural or artificial selection, and the evolution of natural systems or cultivated plants/animals. Its relevance is more relevant than ever at the start of the 21st century, with the advent of genomics (a factor of scientific progress, provided we don't reduce every evolutionary problem to the fiction of a few Mendelian alleles with a strong effect), and the return in force of alternative models of heredity (epigenetics) going beyond the sequence-centric vision inherited from classical molecular biology.

The aim of the module is to provide a culture of quantitative genetics sufficient to (i) understand the classical foundations of the discipline, manipulate the key quantities (genetic variances, heritabilities, genetic correlations) and the statistical techniques for estimating these parameters (ii) understand the power of this technique for posing and understanding fundamental or applied evolutionary problems (agronomic improvement) (iii) understand how this formalization of heredity fits in with the classical Mendelian vision.

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The general objective is to present human evolutionary biology, proposing to mobilize the tools of evolutionary biology to better understand human behaviors and those observed in non-human primates in the context of their evolutionary history. Themes such as health, sociality, culture, local adaptations, language, morality, reproduction and sexual preferences are addressed within the theoretical framework of evolutionary biology and ecology. EU contents: Anthropology, human sciences and evolutionary biology / Evolution of cooperation / Cultural evolution / Evolution of nutrition / Evolution of sociality in primates / Family ecology / Medicine, public health and evolution / Evolution of language / Evolutionary demography / The origins of equity.

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Behavioral Ecology takes an evolutionary approach to the study of behavior, investigating its mechanisms, function and contribution to evolutionary and ecological processes. The work carried out in Behavioral Ecology helps us to understand other phenomena observed in other disciplines of life biology, because all animals, from unicellulars to the most complex vertebrae, exhibit behaviors.

The module exposes students to the various basic concepts, as well as to the multitude of tools likely to be used (observations and experiments on natural populations or captive individuals, comparative analyses, use of modeling tools, ecophysiology, molecular biology, biochemistry, on-board electronics, etc.). Part of the training is based on specific discussions of the research approaches likely to be employed, the tools used and the limits of the inferences that can be made. Students will be expected to play an active role at all these levels, in particular through critical discussions of articles.

Topics range from the exploration of strategies for food provisioning, mate choice, habitat selection and investment in reproduction, to the study of animal communication and the reasons for group living. The historical dimension of the discipline is addressed in the introduction, but also according to the sensibilities of the contributors and the themes addressed (meaning and relationships between 'Animal Behaviour', 'Ethology', Behavioral Ecology etc.).

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