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PROJETOS INTERDISCIPLINARES E A FORMAÇÃO INICIAL DE PROFESSORES/AS DE CIÊNCIAS
As ciências da natureza são carentes de diálogo entre si porque pouco o faz e por diferentes razões. Buscando um repensar, quatro formadores de uma IES Federal, em ação conjunta na disciplina Projetos Interdisciplinares IV, apresenta aqui um trabalho que envolveu formadores Doutores e graduandos das três áreas: Química, Física e Biologia. O que subsidiou a escrita foi a execução, os relatos e as experiências, frutos de um projeto de extensão que semestralmente tem chegado à escola, levado experimentação interdisciplinar e contribuído para a formação inicial e continuada.
Project Management: Concepts, Methodologies, Tools, and Applications
Organizations of all types are consistently working on new initiatives, product lines, or implementation of new workflows as a way to remain competitive in the modern business environment. No matter the type of project at hand, employing the best methods for effective execution and timely completion of the task at hand is essential to project success. Project Management: Concepts, Methodologies, Tools, and Applications presents the latest research and practical solutions for managing every stage of the project lifecycle. Emphasizing emerging concepts, real-world examples, and authoritative research on managing project workflows and measuring project success in both private and public sectors, this multi-volume reference work is a critical addition to academic, government, and corporate libraries. It is designed for use by project coordinators and managers, business executives, researchers, and graduate-level students interested in putting research-based solutions into practice for effective project management.
Annaes da Camara Dos Srs. Desputados do Imperio do Brazil
Reimpressão sem alterações da edição original de 1883.
The Art of Brazil
None
Graph Representation Learning
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical sy...
Guia ruas, São Paulo
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A Restless Art
From the contents:00I. Participatory art now01. The normalisation of participatory art 0II. What is participatory art?02. Concepts03. Defnitions04. The intentions of participatory art 05. The art of participatory art 06. The ethics of participatory art 0III. Where does participatory art come from?07. Making history 08. Deep roots 09. Community art and the cultural revolution (1968 to 1988) 010. Participatory art and appropriation (1988 to 2008).
