Search results for: layers-of-learning-year-four-unit-three

Layers of Learning Year One Unit Eleven

Author : Karen Loutzenhiser
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Read the Shinto creation story and write a tale about the three sacred treasures of Japan. Map the mountains of the world and make a mountain animal paper plate craft. Fry ice and watch your soda pop sublimate. Learn to spot the lines in a piece of art and how an artists uses them, plus use them in your own art! All this and much more in Unit 1-11 of the Layers of Learning Curriculum. In each unit you'll find a recommended library list, important background information about each topic, lots of activities to choose from for kids of all ages, and sidebars with a bunch more ideas including Additional Layers, Fabulous Facts, On The Web, Writer's Workshop, Famous Folks, and Teaching Tips. Printable maps and worksheets are included at the end of each unit and may be printed as often as needed for your family or class. Learn more at www.Layers-of-Learning.com

Layers of Learning

Author : Karen Loutzenhiser
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In this unit you can play games that Russian children have been playing for centuries, make a cosmonaut craft of the Baikonur Cosmodrome in Kazakhstan, craft a lapbook of the history of science, and try your hand at some real watercolor painting projects. There are dozens of projects to choose from in Unit 3-10. In each unit you'll find a recommended library list, important background information about each topic, lots of activities to choose from for kids of all ages, and sidebars with a bunch more ideas including Additional Layers, Fabulous Facts, On The Web, Writer's Workshop, Famous Folks, and Teaching Tips. Printable maps and worksheets are included at the end of each unit and may be printed as often as needed for your family or class.

Intelligent Tutoring Systems

Author : International Conference, ITS (3rd : 1996 : Montréal, Québec)
File Size : 81.8 MB
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This book presents the refereed proceedings of the Third International Conference on Intelligent Tutoring Systems, ITS '96, held in Montreal, Canada, in June 1996. The book contains 69 revised papers selected from a total of 128 submissions; also included are six invited papers from well-known speakers. All in all, the book reflects the state-of-the-art in the area. In particular the following topics are covered: advising systems, ITS architectures, cognitive models, design issues, empirical studies, formal models, learning environments, real-world applications, software tools for tutoring, student modelling, teaching and learning strategies, and multimedia and WWW.

Innovations in E learning Instruction Technology Assessment and Engineering Education

Author : Magued Iskander
File Size : 76.83 MB
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This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Engineering Education, Instructional Technology, Assessment, and E-learning. The book presents selected papers form the conference proceedings of the International Conference on Engineering Education, Instructional Technology, Assessment, and E-learning (EIAE 2006). All aspects of the conference were managed on-line.

Canadian History and Geography

Author : Michelle Copher
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This is a complete unit study with hand-on explorations in the subjects of the history and geography of Canada. It includes nine complete units in one. Inside you will find activities, games, crafts, printable activities, discussion questions, web links, lists of books to check out from your library, and more. These Canada units can be used as part of the whole Layers of Learning program or they can stand alone. These units replace some of the U.S. based units in Year Three and Year Four of the complete program. The units are First Nations, Explorers, New France, Colonial Wars, British Canada, Canadian Government, Early Canada, Modern Canada, and Geography of Canada. Learn more at Layers-of-Learning.com.

Data Mining Practical Machine Learning Tools and Techniques

Author : Ian H. Witten
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Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine learning will teach you everything you need to know about preparing inputs, interpreting outputs, evaluating results, and the algorithmic methods at the heart of successful data mining. Thorough updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including new material on Data Transformations, Ensemble Learning, Massive Data Sets, Multi-instance Learning, plus a new version of the popular Weka machine learning software developed by the authors. Witten, Frank, and Hall include both tried-and-true techniques of today as well as methods at the leading edge of contemporary research. The book is targeted at information systems practitioners, programmers, consultants, developers, information technology managers, specification writers, data analysts, data modelers, database R&D professionals, data warehouse engineers, data mining professionals. The book will also be useful for professors and students of upper-level undergraduate and graduate-level data mining and machine learning courses who want to incorporate data mining as part of their data management knowledge base and expertise. Provides a thorough grounding in machine learning concepts as well as practical advice on applying the tools and techniques to your data mining projects Offers concrete tips and techniques for performance improvement that work by transforming the input or output in machine learning methods Includes downloadable Weka software toolkit, a collection of machine learning algorithms for data mining tasks—in an updated, interactive interface. Algorithms in toolkit cover: data pre-processing, classification, regression, clustering, association rules, visualization

Data Mining and Knowledge Discovery in Real Life Applications

Author : Julio Ponce
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This book presents four different ways of theoretical and practical advances and applications of data mining in different promising areas like Industrialist, Biological, and Social. Twenty six chapters cover different special topics with proposed novel ideas. Each chapter gives an overview of the subjects and some of the chapters have cases with offered data mining solutions. We hope that this book will be a useful aid in showing a right way for the students, researchers and practitioners in their studies.

Deep Learning in Computer Vision

Author : Mahmoud Hassaballah
File Size : 38.82 MB
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Deep learning algorithms have brought a revolution to the computer vision community by introducing non-traditional and efficient solutions to several image-related problems that had long remained unsolved or partially addressed. This book presents a collection of eleven chapters where each individual chapter explains the deep learning principles of a specific topic, introduces reviews of up-to-date techniques, and presents research findings to the computer vision community. The book covers a broad scope of topics in deep learning concepts and applications such as accelerating the convolutional neural network inference on field-programmable gate arrays, fire detection in surveillance applications, face recognition, action and activity recognition, semantic segmentation for autonomous driving, aerial imagery registration, robot vision, tumor detection, and skin lesion segmentation as well as skin melanoma classification. The content of this book has been organized such that each chapter can be read independently from the others. The book is a valuable companion for researchers, for postgraduate and possibly senior undergraduate students who are taking an advanced course in related topics, and for those who are interested in deep learning with applications in computer vision, image processing, and pattern recognition.

Learning Elementary Physics with online support

Author : V. K. Sally
File Size : 57.18 MB
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Thoroughly revised and upgraded as per the latest syllabus. Written in a very simple and easy-to-understand language. All the topics in the syllabus have been systematically covered and graded in the text by first introducing the basic concepts and then gradually going deeper into the topic.

Deep Learning Concepts and Architectures

Author : Witold Pedrycz
File Size : 87.23 MB
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This book introduces readers to the fundamental concepts of deep learning and offers practical insights into how this learning paradigm supports automatic mechanisms of structural knowledge representation. It discusses a number of multilayer architectures giving rise to tangible and functionally meaningful pieces of knowledge, and shows how the structural developments have become essential to the successful delivery of competitive practical solutions to real-world problems. The book also demonstrates how the architectural developments, which arise in the setting of deep learning, support detailed learning and refinements to the system design. Featuring detailed descriptions of the current trends in the design and analysis of deep learning topologies, the book offers practical guidelines and presents competitive solutions to various areas of language modeling, graph representation, and forecasting.

WCNN 93 Portland

Author :
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general chair: George G. Lendaris, Portland State University program chairs: Stephen Grossberg, Boston University Bart Kosko, University of Southern California Formed in 1987 in response to the extraordinary international interest in neural network research, INNS includes among its founders many of the most distinguished leaders of the field. The World Congress on Neural Networks was held to bring together academic scientists, students, industrial commercializers and financers in an open forum for the advancement of the full spectrum of significant neural network research and development, from biology through technology.

Emerging Intelligent Computing Technology and Applications

Author : De-Shuang Huang
File Size : 23.39 MB
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This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Computing, ICIC 2012, held in Huangshan, China, in July 2012. The 242 revised full papers presented in the three volumes LNCS 7389, LNAI 7390, and CCIS 304 were carefully reviewed and selected from 753 submissions. The papers in this volume (CCIS 304) are organized in topical sections on Neural Networks; Particle Swarm Optimization and Niche Technology; Kernel Methods and Supporting Vector Machines; Biology Inspired Computing and Optimization; Knowledge Discovery and Data Mining; Intelligent Computing in Bioinformatics; Intelligent Computing in Pattern Recognition; Intelligent Computing in Image Processing; Intelligent Computing in Computer Vision; Intelligent Control and Automation; Knowledge Representation/Reasoning and Expert Systems; Advances in Information Security; Protein and Gene Bioinformatics; Soft Computing and Bio-Inspired Techiques in Real-World Applications; Bio-Inspired Computing and Applications.

Learning 2D Game Development with Unity

Author : Matthew Johnson
File Size : 26.22 MB
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The Unity Engine Tutorial for Any Game Creator ¿ Unity is now the world’s #1 game engine, thanks to its affordability, continuous improvements, and amazing global community. With Unity, you can design, code, and author your game once, and then deploy it to multiple platforms, reaching huge audiences and earning maximum returns. Learning 2D Game Development with Unity® will help you master Unity and build powerful skills for success in today’s game industry. It also includes a bonus rundown of the new GUI tools introduced in Unity’s version 4.6 beta. ¿ With this indispensable guide, you’ll gain a solid, practical understanding of the Unity engine as you build a complete, 2D platform-style game, hands-on. The step-by-step project will get you started fast, whether you’re moving to Unity from other engines or are new to game development. ¿ This tutorial covers the entire development process, from initial concept, plans, and designs to the final steps of building and deploying your game. It illuminates Unity’s newly integrated 2D toolset, covering sprites, 2D physics, game scripts, audio, and animations. Throughout, it focuses on the simplest and lowest-cost approaches to game development, relying on free software and assets. Everything you’ll need is provided. ¿ Register your book at informit.com/title/9780321957726 to access assets, code listings, and video tutorials on the companion website. ¿ Learn How To Set up your Unity development environment and navigate its tools Create and import assets and packages you can add to your game Set up game sprites and create atlas sheets using the new Unity 2D tools Animate sprites using keyframes, animation controllers, and scripting Build a 2D game world from beginning to end Establish player control Construct movements that “feel right” Set up player physics and colliders Create and apply classic gameplay systems Implement hazards and tune difficulty Apply audio and particle effects to the game Create intuitive game menus and interface elements Debug code and provide smooth error handling Organize game resources and optimize game performance Publish your game to the web for others to see and play ¿

Networks of Learning Automata

Author : M.A.L. Thathachar
File Size : 40.59 MB
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Networks of Learning Automata: Techniques for Online Stochastic Optimization is a comprehensive account of learning automata models with emphasis on multiautomata systems. It considers synthesis of complex learning structures from simple building blocks and uses stochastic algorithms for refining probabilities of selecting actions. Mathematical analysis of the behavior of games and feedforward networks is provided. Algorithms considered here can be used for online optimization of systems based on noisy measurements of performance index. Also, algorithms that assure convergence to the global optimum are presented. Parallel operation of automata systems for improving speed of convergence is described. The authors also include extensive discussion of how learning automata solutions can be constructed in a variety of applications.

Screws for Polymer Processing

Author :
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How To Reach And Teach Children with ADD ADHD

Author : Sandra F. Rief
File Size : 30.38 MB
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Sandra Rief offers myriad real-life case studies, interviews, and student intervention plans for children with ADD/ADHD. In addition, the book contains best teaching practices and countless strategies for enhancing classroom performance for all types of students. This invaluable resource offers proven suggestions for: Engaging students' attention and active participation Keeping students on-task and productive Preventing and managing behavioral problems in the classroom Differentiating instruction and addressing students' diverse learning styles Building a partnership with parents and much more.

ACM SIGPLAN Notices

Author :
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Handbook of Research on Learning Design and Learning Objects Issues Applications and Technologies

Author : Lockyer, Lori
File Size : 24.47 MB
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"This book provides an overview of current research and development activity in the area of learning designs"--Provided by publisher.

Architecture Solutions for E Learning Systems

Author : Pahl, Claus
File Size : 44.65 MB
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"This book provides fundamental research on the architecture of learning technology systems, discussing such issues as the common structures in LTS and solutions for specific forms such as knowledge-based, distributed, or adaptive applications of e-learning. Researchers, and scholars in the fields of learning content software development, computing and educational technologies, and e-learning will find it an invaluable resource"--Provided by publisher.

ArchiMate 2 Certification Study Guide

Author : Andrew Josey
File Size : 51.24 MB
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This title is a Study Guide preparing for the ArchiMate 2 Part 1 and 2 Examinations. It gives an overview of every learning objective for the ArchiMate certification syllabus and in-depth coverage on preparing and taking the ArchiMate 2 Examinations. It is specifically designed to help individuals prepare for certification.This Study Guide is excellent material for: Individuals who require a basic understanding of the ArchiMate modeling language; Professionals who are working in roles associated with an architecture project and who need to understand architecture artefacts developed using the ArchiMate modelling language; Individuals who want to achieve a recognized qualification to demonstrate their knowledge of the ArchiMate modelling language.A prior knowledge of Enterprise Architecture and architecture modelling is advantageous but not required. While reading this Study Guide, the reader should refer to the ArchiMate Version 2.1 Specification (manual), available as hard copy and eBook, from www.vanharen.net and online booksellers, and also available online at www.opengroup.org.