Windows on Learning

Windows on Learning

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  • Author: Judy Harris Helm
  • Publisher: Teachers College Press
  • ISBN: 0807777145
  • Category : Education
  • Languages : en
  • Pages : 474

Completely updated, this popular guide provides teachers with a proven method for documenting (collecting, analyzing, and displaying) young children’s work. Written by teachers for teachers, it also shows principals, curriculum coordinators, and directors of early intervention programs how to develop children’s portfolios to share with parents or to use for assessment and other accountability purposes. “This lively, informative book poses a remarkable challenge to teachers—to grow themselves while growing young children. Being creatively accountable is hard work and the stories told here describe both the work, how it’s done, and its joyful rewards for teachers and children.” —Elizabeth Jones, Pacific Oaks College “This book provides a set of windows on children’s lives and how teachers can enter into those lives and enrich them through high-quality teaching. The authors have created an inspiring volume, a challenging set of ideas, and an invaluable resource for early childhood educators.” —Samuel J. Meisels, University of Michigan “[A] thoughtful, up-to-date guide to assessing and documenting children’s work. . . . The authors give clear, practical advice on how to collect, analyze, and display children’s work in meaningful ways.” —Scholastic Early Childhood Today (on first edition) “Many teachers find it frustrating to hear the rich and exciting learning experiences they provide described as ‘nothing.’ Windows on Learning skillfully addresses the challenge faced by early childhood educators wishing to share classroom experiences with parents, administrators, and peers. The authors offer a timely and fresh approach to documenting children’s learning and work.” —Childhood Education (on first edition)


Windows on Mathematical Meanings

Windows on Mathematical Meanings

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  • Author: Richard Noss
  • Publisher: Springer Science & Business Media
  • ISBN: 9400916965
  • Category : Education
  • Languages : en
  • Pages : 288

This book challenges some of the conventional wisdoms on the learning of mathematics. The authors use the computer as a window onto mathematical meaning-making. The pivot of their theory is the idea of webbing, which explains how someone struggling with a new mathematical idea can draw on supportive knowledge, and reconciles the individual's role in mathematical learning with the part played by epistemological, social and cultural forces.


Windows on the Future

Windows on the Future

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  • Author: Ted McCain
  • Publisher: Corwin Press
  • ISBN: 9780761977124
  • Category : Business & Economics
  • Languages : en
  • Pages : 164

"I would like to see this book become required reading for every teacher or administrator before they break for the summer. Its simplified descriptions make it easily understood by non-technical people. I will make sure that all of my classes read it!"-Shirley CampbellDirector, Computer and Curriculum Inquiry CenterUniversity of Pittsburgh, PA"McCain and Jukes build a case that the Information Age has not yet peaked and awaken us to the challenge of the dramatic technological changes we will surely see within our life time."-Frank Buck, Principal, Graham SchoolTalladega, AL"Windows on the Future summarizes key developments and concepts making them readily understandable. Though I've been a member of the World Future Society and an avid reader of books for over 30 years, I am not aware of any other publication like this for practicing educators. This would be very valuable for professional development study groups."-Karen L. Tichy, Associate Superintendent for InstructionCatholic Education OfficeSt. Louis, MOGet prepared to help your students move into the technological future!The world as we knew it ten years ago no longer exists. Ten years from now, today's world will have recreated itself many times over. Windows on the Future shows educators how to help students cultivate the attitudes and skills necessary to leverage this monumental change for their benefit. Windows on the Future was designed to help the educator cope with changes created by technology and embrace a new mindset necessary to access the burgeoning technological advances. The goal is to keep schools and students relevant in the 21st Century, and McCain and Jukes offer new paradigms and frameworks to accomplish that.Critical issues explored include:Key trends for the new millennium The power of paradigm Education in the future New skills for students New roles for educators The need for vision


Microsoft Windows Scripting Self-paced Learning Guide

Microsoft Windows Scripting Self-paced Learning Guide

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  • Author: Ed Wilson
  • Publisher:
  • ISBN: 9780735619814
  • Category : COMPUTERS
  • Languages : en
  • Pages : 380

Get expert guidance on how to use scripting to automate Windows system administration--straight from the Microsoft scripting experts. This title features hands-on, self-paced learning exercises, timesaving tips, and sample scripts to help readers get more done in less time.


Learn Windows IIS in a Month of Lunches

Learn Windows IIS in a Month of Lunches

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  • Author: Jason Helmick
  • Publisher: Simon and Schuster
  • ISBN: 1638352003
  • Category : Computers
  • Languages : en
  • Pages : 669

Summary Learn Windows IIS in a Month of Lunches is an innovative tutorial designed for busy administrators. Even if you have no prior exposure to IIS, you can follow the crisp explanations, examples, and exercises in this concise, easy-to-read book. Just set aside one hour a day—lunchtime would be perfect—for a month, and you'll be managing, securing, and automating IIS administrative tasks faster than you thought possible. About this Book When your website slows to a crawl or Exchange stops sending internet mail, you have to get things working again. Fast. IIS is the communication gateway for most Microsoft servers as well as the primary technology for publishing web sites. Learning to manage it effectively means you can keep your systems running smoothly and go home on time. Learn Windows IIS in a Month of Lunches is an innovative tutorial designed for busy administrators. Follow the crisp explanations, examples, and exercises in this concise, easy-to-read book, and you'll be managing, securing, and automating IIS faster than you thought possible. You'll start with IIS fundamentals, and then systematically explore web farm design, website management, and high availability, along with practices to keep your Exchange, SharePoint, System Center, and Lync servers running smoothly. Written for anyone who needs to manage IIS, whether you're an IT pro or a reluctant administrator. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. What's Inside 24 bite-sized lessons with practice examples High-value troubleshooting techniques No previous IIS experience assumed About the AuthorJason Helmick is a professional trainer and consultant specializing in Active Directory and IIS. He's the founder of the Arizona PowerShell User Group. Table of Contents Before you begin Deploying the web server Exploring and launching a website Managing application pools Adding more websites to your server What every administrator should know about web applications Securing your sites and web applications Securing the server Protecting data with certificates FTP and SMTP with IIS Sharing administrative responsibilities through remote management Optimizing sites for users and search engines Building a web farm with Microsoft Network Load Balancing Building a web farm with Application Request Routing High availability for ARR using Microsoft NLB Sharing content and configuration to the web farm Sharing IIS configurations for a web farm Using the central certificate store for certificate management Web farm provisioning with the Web Farm Framework Disaster recovery for IIS The final exam Never the end IIS PowerShell cheat sheet Lab setup guide


Deep Learning on Windows

Deep Learning on Windows

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  • Author: Thimira Amaratunga
  • Publisher: Apress
  • ISBN: 9781484264300
  • Category : Computers
  • Languages : en
  • Pages : 235

Build deep learning and computer vision systems using Python, TensorFlow, Keras, OpenCV, and more, right within the familiar environment of Microsoft Windows. The book starts with an introduction to tools for deep learning and computer vision tasks followed by instructions to install, configure, and troubleshoot them. Here, you will learn how Python can help you build deep learning models on Windows. Moving forward, you will build a deep learning model and understand the internal workings of a convolutional neural network on Windows. Further, you will go through different ways to visualize the internal workings of deep learning models along with an understanding of transfer learning where you will learn how to build a model architecture and use data augmentations. Next, you will manage and train deep learning models on Windows before deploying your application as a web application. You’ll also do some basic image processing and work with computer vision options that will help you build various applications with deep learning. Finally, you will use generative adversarial networks along with reinforcement learning. After reading Deep Learning on Windows, you will be able to design deep learning models and web applications on the Windows operating system. What You Will Learn Get deep learning tools working on Microsoft Windows Understand model visualization techniques, such as the built-in plot_model function of Keras and third-party visualization tools Build a robust training script Convert your deep learning model into a web application Generate handwritten digits with DCGAN (deep convolutional generative adversarial network) Understand the basics of reinforcement learning Who This Book Is For AI developers and enthusiasts wanting to work on the Windows platform.


Windows 10 For Dummies

Windows 10 For Dummies

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  • Author: Andy Rathbone
  • Publisher: John Wiley & Sons
  • ISBN: 1119049369
  • Category : Computers
  • Languages : en
  • Pages : 432

Illustrates the new features of Windows 10.


Windows 10 Step by Step

Windows 10 Step by Step

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  • Author: Joan Lambert
  • Publisher: Microsoft Press
  • ISBN: 0735697981
  • Category : Computers
  • Languages : en
  • Pages : 864

The quick way to learn Windows 10 This is learning made easy. Get more done quickly with Windows 10. Jump in wherever you need answers--brisk lessons and colorful screenshots show you exactly what to do, step by step. Discover fun and functional Windows 10 features! Work with the new, improved Start menu and Start screen Learn about different sign-in methods Put the Cortana personal assistant to work for you Manage your online reading list and annotate articles with the new browser, Microsoft Edge Help safeguard your computer, your information, and your privacy Manage connections to networks, devices, and storage resources


COM/DCOM Blue Book

COM/DCOM Blue Book

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  • Author: Nathan Wallace
  • Publisher:
  • ISBN: 9781576104095
  • Category : Computers
  • Languages : en
  • Pages : 780

Key features include integrated learning about all four aspects of COM (COM, Automation, ActiveX, and DCOM), an emphasized component creation and use of techniques independent of any single programming language. The CD-ROM includes source code for all projects presented in the book in all four development environments covered.


Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning

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  • Author: Christopher M. Bishop
  • Publisher: Springer
  • ISBN: 9781493938438
  • Category : Computers
  • Languages : en
  • Pages : 0

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.