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        <title>Schedule Details</title>
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        <description>Schedule Details

Day 1 Overview:

Models, data, and uncertainty
Morning:

	*  9:00-9:30AM		Introduction and logistics
	*  9:30-10:30AM 		Introduction to the course: Data, models and uncertainty

We will introduce basic concepts of ecological modelling, focusing on how models are used to learn from data. The concept of stochasticity will be introduced.</description>
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        <description>Course Material

1a. Aula

Local da aula: Sala Multimídia do Centro Didático

Apresentações







Arquivos para aula prática



[Respostas dos exercícios]









Material para leitura









2a. Aula

Local da aula: Sala de Anatomia do Centro Didático

Apresentações</description>
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        <title>Tópicos Avançados</title>
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        <description>Tópicos Avançados

&lt;http://www.r-project.org/&gt;

	*  Lista de Cursos

----------

Bayesian Models in Ecology

cron

Material de Apoio

	*  matapoio

----------

Cursos Relacionados

	*  Introdução ao R

Linques

&lt;http://ecologia.ib.usp.br/labtrop&gt;

&lt;http://ecologia.ib.usp.br/let&gt;

&lt;http://cmq.esalq.usp.br/&gt;

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    CENTRO DE MÉTODOS QUANTITATIVOS - CMQ
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        <title>BAYESIAN MODELS IN ECOLOGY</title>
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        <description>BAYESIAN MODELS IN ECOLOGY

The application of Bayesian methods to research problems in ecology is advancing rapidly. Although training in these methods for graduate students is becoming far more available than it was even five years ago, it is still limited to a small number of institutions. There is a large, unfulfilled need for educating ecologists in the use Bayesian principles and methods. These methods</description>
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