5 recherche sur le mot-clé 'Learning'

Communities of practice: learning, meaning, and identity / Wenger, Etienne (1999)

Public ISBD Titre : Communities of practice: learning, meaning, and identity Type de document : livre Auteurs : Wenger, Etienne Editeur : Cambridge : Cambridge University Press Année de publication : 1999 Collection : Learning in doing: social, cognitive, and computational perspectives Importance : 318 p. ISBN/ISSN/EAN : 978-0-521-66363-2 Note générale : First publ. 1998; First pbk ed. 1999; 18th printing 2008 Langues : Anglais (eng) Mots-clés : Learning  Participation  Sociology Communities of practice: learning, meaning, and identity [livre] / Wenger, Etienne . - Cambridge : Cambridge University Press, 1999 . - 318 p.. - (Learning in doing: social, cognitive, and computational perspectives) . ISBN : 978-0-521-66363-2 First publ. 1998; First pbk ed. 1999; 18th printing 2008 Langues : Anglais (eng) Mots-clés : Learning  Participation  Sociology

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69269	WEN_21_69269	Livre	Salle des ouvrages	21_Sciences_Humaines	Sorti jusqu'au 25/05/2043

Evolution of teaching and learning paradigms in intelligent environment / Jain, Lakhmi C.(Ed.) ; Tedman, Raymond, A.(Ed.) ; Tedman, Debra K.(Ed.) (2007)  

Public ISBD Titre : Evolution of teaching and learning paradigms in intelligent environment Type de document : livre Auteurs : Jain, Lakhmi C.(Ed.) ; Tedman, Raymond, A.(Ed.) ; Tedman, Debra K.(Ed.) Editeur : Berlin : Springer Année de publication : 2007 Collection : Studies in computational intelligence, 62 Importance : 308 p. ISBN/ISSN/EAN : 978-3-540-71973-1 Langues : Anglais (eng) Mots-clés : Distance education  Learning  Teaching  Technology Résumé : This book on the evolution of teaching and learning paradigms in intelligent environment presents the latest ideas pertaining to educational pedagogy. The following contents are included: Introduction to the Evolution of Teaching and Learning Paradigms; Why Designers cannot be Agnostic about Pedagogy: The Influence of Constructivist Thinking in Design of e-Learning for HE; Problem Based Learning in an E-learning environment - A Case Study at Griffith University School of Medicine; Education Ontologies Construction for Personalised Learning on the Web; Sequencing in Web-based Education; From Dungeons to Classrooms; The Development of an Approach to Learning within the Middle Schooling Paradigm; Data Mining in E-Learning; Data Mining of Virtual Campus Data; Authoring and Management Tools For Adaptive Educational Hypermedia Systems; Technology and Pedagogy - How to Learn Technique. This book is directed to teaching professionals of all disciplines. [Résumé éditeur] En ligne : http://www.springer.com/cda/content/document/cda_downloaddocument/9783540719731- [...] Evolution of teaching and learning paradigms in intelligent environment [livre] / Jain, Lakhmi C.(Ed.) ; Tedman, Raymond, A.(Ed.) ; Tedman, Debra K.(Ed.) . - Berlin : Springer, 2007 . - 308 p.. - (Studies in computational intelligence, 62) . ISBN : 978-3-540-71973-1 Langues : Anglais (eng) Mots-clés : Distance education  Learning  Teaching  Technology Résumé : This book on the evolution of teaching and learning paradigms in intelligent environment presents the latest ideas pertaining to educational pedagogy. The following contents are included: Introduction to the Evolution of Teaching and Learning Paradigms; Why Designers cannot be Agnostic about Pedagogy: The Influence of Constructivist Thinking in Design of e-Learning for HE; Problem Based Learning in an E-learning environment - A Case Study at Griffith University School of Medicine; Education Ontologies Construction for Personalised Learning on the Web; Sequencing in Web-based Education; From Dungeons to Classrooms; The Development of an Approach to Learning within the Middle Schooling Paradigm; Data Mining in E-Learning; Data Mining of Virtual Campus Data; Authoring and Management Tools For Adaptive Educational Hypermedia Systems; Technology and Pedagogy - How to Learn Technique. This book is directed to teaching professionals of all disciplines. [Résumé éditeur] En ligne : http://www.springer.com/cda/content/document/cda_downloaddocument/9783540719731- [...]

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
68041	JAI_21_68041	Livre	Salle des ouvrages	21_Sciences_Humaines	Disponible

A first course in statistical programming with R / W. John Braun (2007)  

Public ISBD Titre : A first course in statistical programming with R Type de document : livre Auteurs : W. John Braun, Auteur ; Duncan J. Murdoch, Auteur Mention d'édition : 1st ed. Editeur : Cambridge, UK : Cambridge University Press Année de publication : 2007 Importance : 163 p. ISBN/ISSN/EAN : 978-0-521-69424-7 Langues : Anglais (eng) Mots-clés : Data analysis  Languages  Learning  R (Computer program language)  Statistical analysis Résumé : This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis. En ligne : http://books.google.com/books?id=aodgVNrU_8IC&printsec=frontcover&hl=fr A first course in statistical programming with R [livre] / W. John Braun, Auteur ; Duncan J. Murdoch, Auteur  . -  1st ed. . - Cambridge, UK : Cambridge University Press, 2007 . - 163 p. ISBN : 978-0-521-69424-7 Langues : Anglais (eng) Mots-clés : Data analysis  Languages  Learning  R (Computer program language)  Statistical analysis Résumé : This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis. En ligne : http://books.google.com/books?id=aodgVNrU_8IC&printsec=frontcover&hl=fr

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
68262	BRA_11_68262	Livre	Salle des ouvrages	11_Mathématiques	Disponible

Models of the mind: how physics, engineering and mathematics have shaped our understanding of the brain / Grace Lindsay (2021)  

Public ISBD Titre : Models of the mind: how physics, engineering and mathematics have shaped our understanding of the brain Type de document : livre Auteurs : Grace Lindsay, Auteur Mention d'édition : 1st ed. Editeur : London : Bloomsbury Sigma Année de publication : 2021 Collection : Bloomsbury Sigma series Importance : 400 p. ISBN/ISSN/EAN : 978-1-4729-6642-1 Prix : 28.00 USD Langues : Anglais (eng) Mots-clés : Brain  Learning  Mental ability  Intelligence  Memory  Mathematics  Neural networks Résumé : Le site éditeur indique : The brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For over a century, a diverse array of researchers have been trying to find a language that can be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when bringing the abstract world of mathematical modelling into contact with the messy details of biology. Each chapter focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviors that brains command. Throughout Grace will look at the history of the field, starting with experiments done on neurons in frog legs at the turn of the twentieth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. She demonstrates the value of describing the machinery of neuroscience using the elegant language of mathematics, and reveals in full the remarkable fruits of this endeavor. En ligne : https://www.bloomsbury.com/us/models-of-the-mind-9781472966421/ Models of the mind: how physics, engineering and mathematics have shaped our understanding of the brain [livre] / Grace Lindsay, Auteur  . -  1st ed. . - London : Bloomsbury Sigma, 2021 . - 400 p.. - (Bloomsbury Sigma series) . ISBN : 978-1-4729-6642-1 : 28.00 USD Langues : Anglais (eng) Mots-clés : Brain  Learning  Mental ability  Intelligence  Memory  Mathematics  Neural networks Résumé : Le site éditeur indique : The brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For over a century, a diverse array of researchers have been trying to find a language that can be used to capture the essence of what these neurons do and how they communicate – and how those communications create thoughts, perceptions and actions. The language they were looking for was mathematics, and we would not be able to understand the brain as we do today without it. In Models of the Mind, author and computational neuroscientist Grace Lindsay explains how mathematical models have allowed scientists to understand and describe many of the brain's processes, including decision-making, sensory processing, quantifying memory, and more. She introduces readers to the most important concepts in modern neuroscience, and highlights the tensions that arise when bringing the abstract world of mathematical modelling into contact with the messy details of biology. Each chapter focuses on mathematical tools that have been applied in a particular area of neuroscience, progressing from the simplest building block of the brain – the individual neuron – through to circuits of interacting neurons, whole brain areas and even the behaviors that brains command. Throughout Grace will look at the history of the field, starting with experiments done on neurons in frog legs at the turn of the twentieth century and building to the large models of artificial neural networks that form the basis of modern artificial intelligence. She demonstrates the value of describing the machinery of neuroscience using the elegant language of mathematics, and reveals in full the remarkable fruits of this endeavor. En ligne : https://www.bloomsbury.com/us/models-of-the-mind-9781472966421/

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
69737	LIN_11_69737	Livre	Salle des ouvrages	11_Mathématiques	Sorti jusqu'au 22/10/2044

Environnements informatiques pour l'apprentissage humain / Grandbastien, M.(Dir.) ; Labat, J.-M.(Dir.) (2006)

Public ISBD Titre : Environnements informatiques pour l'apprentissage humain Type de document : livre Auteurs : Grandbastien, M.(Dir.) ; Labat, J.-M.(Dir.) Editeur : Paris : Hermes Science; Lavoisier Année de publication : 2006 Collection : Traité IC2, série Cognition et traitement de l'information Importance : 384 p. ISBN/ISSN/EAN : 978-2-7462-1171-1 Note générale : Inventaire 2008: Pointé et ré-emprunté le 20/11/2008 Langues : Français (fre) Mots-clés : Computer applications  Knowledge based systems  Learning Résumé : Au moment où les dispositifs d'éducation et de formation sont en voie d'être profondément bouleversés par les sciences et technologies de l'information et de la communication, ce livre propose un ensemble de connaissances relatives aux Environnements Informatiques pour l'Apprentissage Humain. Elles ont vocation à servir de fondement aux travaux de recherche et développement du domaine ainsi que de référence à la réflexion des décideurs. Il est organisé en trois parties : Principes et modèles fondateurs est consacré aux modèles issus des sciences humaines et sociales (théories pédagogiques et didactique) ainsi qu'aux modèles informatiques (modèles des scénarios pédagogiques, de l'apprenant, de la gestion de l'interaction). Vers une ingénierie pour les EIAH présente les méthodes et outils qui permettent de produire des systèmes opérationnels à un coût acceptable. Exemples de systèmes et de familles de systèmes présente des recherches plus finalisées et décrit quelques systèmes français opérationnels et largement diffusés. [Résumé éditeur] Note de contenu : Hbk; Environnements informatiques pour l'apprentissage humain [livre] / Grandbastien, M.(Dir.) ; Labat, J.-M.(Dir.) . - Paris : Hermes Science; Lavoisier, 2006 . - 384 p.. - (Traité IC2, série Cognition et traitement de l'information) . ISBN : 978-2-7462-1171-1 Inventaire 2008: Pointé et ré-emprunté le 20/11/2008 Langues : Français (fre) Mots-clés : Computer applications  Knowledge based systems  Learning Résumé : Au moment où les dispositifs d'éducation et de formation sont en voie d'être profondément bouleversés par les sciences et technologies de l'information et de la communication, ce livre propose un ensemble de connaissances relatives aux Environnements Informatiques pour l'Apprentissage Humain. Elles ont vocation à servir de fondement aux travaux de recherche et développement du domaine ainsi que de référence à la réflexion des décideurs. Il est organisé en trois parties : Principes et modèles fondateurs est consacré aux modèles issus des sciences humaines et sociales (théories pédagogiques et didactique) ainsi qu'aux modèles informatiques (modèles des scénarios pédagogiques, de l'apprenant, de la gestion de l'interaction). Vers une ingénierie pour les EIAH présente les méthodes et outils qui permettent de produire des systèmes opérationnels à un coût acceptable. Exemples de systèmes et de familles de systèmes présente des recherches plus finalisées et décrit quelques systèmes français opérationnels et largement diffusés. [Résumé éditeur] Note de contenu : Hbk;

Exemplaires(1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
67793	Gra_21_67793	Livre	Salle des ouvrages	21_Sciences_Humaines	Disponible