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1. |
Record Nr. |
UNINA9910778257403321 |
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Autore |
Wehmeyer Michael L |
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Titolo |
Promoting self-determination in students with developmental disabilities [[electronic resource] /] / Michael L. Wehmeyer ; with Martin Agran ... [et al.] |
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Pubbl/distr/stampa |
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New York, : Guilford Press, c2007 |
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ISBN |
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1-281-12430-3 |
9786611124304 |
1-59385-739-X |
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Descrizione fisica |
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1 online resource (224 p.) |
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Collana |
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What works for special needs learners |
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Disciplina |
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Soggetti |
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Learning disabled children - Education |
Learning disabled youth - Education |
Decision making in children |
Decision making in adolescence |
Determination (Personality trait) in children |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references (p. 175-200) and index. |
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Nota di contenuto |
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Preliminaries; Contents; 1 Overview of Self Determination and Self Determined Learning; 2 Assessing Preferences and Promoting Choice Making; 3 Teaching Problem Solving and Decision Making; 4 Teaching Goal Setting and Attainment; 5 Teaching Self Advocacy; 6 Antecedent Event Regulation; 7 Consequent Event Regulation; 8 Self Instruction; 9 The Self Determined Learning Model of Instruction; 10 Technology and Universal Design; 11 Student Involvement in Educational Planning; References; Index |
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Sommario/riassunto |
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Growing evidence suggests that self-determination is a significant factor in improving educational and transition outcomes in students with intellectual and developmental disabilities. This volume reviews the breadth of available methods for teaching components of self-determination--including choice making, problem solving, decision making, goal setting, self-advocacy, and self-regulated learning--and provides best-practice recommendations that teachers can put to immediate use in the classroom. Grounded in theory and research, the |
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strategies presented here have been shown to enhanc |
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2. |
Record Nr. |
UNINA9910741142203321 |
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Autore |
Erciyes Kayhan |
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Titolo |
Distributed Graph Algorithms for Computer Networks / / by Kayhan Erciyes |
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Pubbl/distr/stampa |
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London : , : Springer London : , : Imprint : Springer, , 2013 |
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ISBN |
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Edizione |
[1st ed. 2013.] |
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Descrizione fisica |
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1 online resource (327 p.) |
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Collana |
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Computer Communications and Networks, , 1617-7975 |
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Disciplina |
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Soggetti |
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Algorithms |
Computer communication systems |
Computer science—Mathematics |
Algorithm Analysis and Problem Complexity |
Computer Communication Networks |
Math Applications in Computer Science |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Introduction -- Part I: Fundamental Algorithms -- Graphs -- The Computational Model -- Spanning Tree Construction -- Graph Traversals -- Minimal Spanning Trees -- Routing -- Self-Stabilization -- Part II: Graph Theoretical Algorithms -- Vertex Coloring -- Maximal Independent Sets -- Dominating Sets -- Matching -- Vertex Cover -- Part III: Ad Hoc Wireless Networks -- Introduction -- Topology Control -- Ad Hoc Routing -- Sensor Network Applications -- ASSIST: A Simulator to Develop Distributed Algorithms -- Pseudocode Conventions -- ASSIST Code -- Applications Using ASSIST. |
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Sommario/riassunto |
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Graph theory is an invaluable tool for the designer of algorithms for distributed systems. This hands-on textbook/reference presents a comprehensive review of key distributed graph algorithms for computer network applications, with a particular emphasis on practical implementation. Each chapter opens with a concise introduction to a specific problem, supporting the theory with numerous examples, |
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before providing a list of relevant algorithms. These algorithms are described in detail from conceptual basis to pseudocode, complete with graph templates for the stepwise implementation of the algorithm, followed by its analysis. The chapters then conclude with summarizing notes and programming exercises. Topics and features: Introduces a range of fundamental graph algorithms, covering spanning trees, graph traversal algorithms, routing algorithms, and self-stabilization Reviews graph-theoretical distributed approximation algorithms with applications in ad hoc wireless networks Describes in detail the implementation of each algorithm, with extensive use of supporting examples, and discusses their concrete network applications Examines key graph-theoretical algorithm concepts, such as dominating sets, and parameters for mobility and energy levels of nodes in wireless ad hoc networks, and provides a contemporary survey of each topic Presents a simple simulator, developed to run distributed algorithms Provides practical exercises at the end of each chapter This classroom-tested and easy-to-follow textbook is essential reading for all graduate students and researchers interested in discrete mathematics, algorithms and computer networks. Prof. Dr. Kayhan Erciyeş is the Rector and a member of the Computer Engineering Department at Izmir University, Turkey . |
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