Learning about the World Through Modeling

2001
Learning about the World Through Modeling

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  • Author: Arthur Auer
  • Publisher:
  • ISBN: 9781888365306
  • Category : Affective education
  • Languages : en
  • Pages : 229

Hands-on modelling is key skill for children, leading to the development of their mind and intelligence through a rich complexity of sense experiences.Arthur and Elizabeth Auer make a plea to parents and teachers alike to 'let children work with their hands'. This comprehensive, heavily illustrated book demonstrates a multitude of modelling projects for different ages using different materials including clay, beeswax, plasticine, dough, sand and snow.

Modeling for Learning Organizations

1994
Modeling for Learning Organizations

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  • Author: John Douglas William Morecroft
  • Publisher:
  • ISBN:
  • Category : Administración
  • Languages : en
  • Pages : 442

In this book leading systems dynamics articulate the latest thinking and practices on how modeling can support learning in the management environment. It includes discussions on teamwork, a number of case studies and a review of current computer simulation software packages

Basic Sculptural Modeling

2006-01-01
Basic Sculptural Modeling

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  • Author: Hella Loewe
  • Publisher:
  • ISBN: 9781888365733
  • Category : Sculpture
  • Languages : en
  • Pages : 114

In this well-illustrated book Hella Loewe describes her research and practice of working with modelling in the early years of a Steiner-Waldorf school. She describes meeting a class of mixed nationalities with social and behavioral challenges, and how she was able to temper this class through specific modelling techniques.Are the children coming into our classrooms today requiring more will-centered activities? Loewe believes this is so and challenges teachers to take a new look at the traditional Waldorf modelling curriculum through her re-examination of Rudolf Steiner's indications.Contents include:Modeling with Clay in the First GradeStep-by-Step Guide for Grades One through ThreePractical ExperiencesAbout the Effects of Modeling with ClayExcerpts by Rudolf Steiner Regarding Sculptural Modeling

The World in the Model

2012-09-17
The World in the Model

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  • Author: Mary S. Morgan
  • Publisher: Cambridge University Press
  • ISBN: 1139560417
  • Category : Business & Economics
  • Languages : en
  • Pages :

During the last two centuries, the way economic science is done has changed radically: it has become a social science based on mathematical models in place of words. This book describes and analyses that change - both historically and philosophically - using a series of case studies to illuminate the nature and the implications of these changes. It is not a technical book; it is written for the intelligent person who wants to understand how economics works from the inside out. This book will be of interest to economists and science studies scholars (historians, sociologists and philosophers of science). But it also aims at a wider readership in the public intellectual sphere, building on the current interest in all things economic and on the recent failure of the so-called economic model, which has shaped our beliefs and the world we live in.

Object Lifecycles

1992
Object Lifecycles

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  • Author: Sally Shlaer
  • Publisher: Prentice Hall
  • ISBN:
  • Category : Object-oriented programming
  • Languages : en
  • Pages : 280

A companion book to Mellor and Shlaer's Object-Oriented Systems Analysis which covers the Information Modeling step, this book details in three step s a systematic method for investigating and defining real-time, scientific, and business-oriented systems. It explains the State Modeling step, the Process Modeling step, and the External Specifications step.

Write Like This

2023-10-10
Write Like This

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  • Author: Kelly Gallagher
  • Publisher: Taylor & Francis
  • ISBN: 1003843042
  • Category : Education
  • Languages : en
  • Pages : 370

In Write Like This: Teaching Real World Writing Through Modeling and Mentor Texts, author and teacher Kelly Gallagher recognizes that writing well starts with teaching students WHY they should write. He believes we need to move beyond the state standards by introducing young writers to real-world discourses and provide them with authentic texts to influence and develop life-long skills. Each chapter focuses on a specific writing purpose: Express and Reflect: View life experiences in reverse to move forward Inform and Explain: State a point and purpose with information to support it Evaluate and Judge: Focus' on the worth of an object, idea, or person and present' it as 'bad or 'good Inquire and Explore: Propose' a problem or question Analyze and Interpret: Examine phenomena that are difficult to understand or explain Take a Stand/Propose a Solution: Persuade audience to particular position and provide' justification' ' In teaching these lessons, Gallagher provides mentor texts (professional samples as well as models he has written in front of his students), student writing samples, and numerous assignments and strategies proven to elevate student writing. By helping teachers bring effective modeling practices into their classrooms, Write Like This enables students to become better adolescent writers. More important, the practices found in this book will help our students develop the writing skills they will need to become adult writers in the real world. '

Continuous System Modeling

2013-03-14
Continuous System Modeling

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  • Author: François E. Cellier
  • Publisher: Springer Science & Business Media
  • ISBN: 1475739222
  • Category : Technology & Engineering
  • Languages : en
  • Pages : 775

Modeling and Simulation have become endeavors central to all disciplines of science and engineering. They are used in the analysis of physical systems where they help us gain a better understanding of the functioning of our physical world. They are also important to the design of new engineering systems where they enable us to predict the behavior of a system before it is ever actually built. Modeling and simulation are the only techniques available that allow us to analyze arbitrarily non-linear systems accurately and under varying experimental conditions. Continuous System Modeling introduces the student to an important subclass of these techniques. They deal with the analysis of systems described through a set of ordinary or partial differential equations or through a set of difference equations. This volume introduces concepts of modeling physical systems through a set of differential and/or difference equations. The purpose is twofold: it enhances the scientific understanding of our physical world by codifying (organizing) knowledge about this world, and it supports engineering design by allowing us to assess the consequences of a particular design alternative before it is actually built. This text has a flavor of the mathematical discipline of dynamical systems, and is strongly oriented towards Newtonian physical science.

The Model Thinker

2018-11-27
The Model Thinker

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  • Author: Scott E. Page
  • Publisher: Basic Books
  • ISBN: 0465094635
  • Category : Computers
  • Languages : en
  • Pages : 585

Work with data like a pro using this guide that breaks down how to organize, apply, and most importantly, understand what you are analyzing in order to become a true data ninja. From the stock market to genomics laboratories, census figures to marketing email blasts, we are awash with data. But as anyone who has ever opened up a spreadsheet packed with seemingly infinite lines of data knows, numbers aren't enough: we need to know how to make those numbers talk. In The Model Thinker, social scientist Scott E. Page shows us the mathematical, statistical, and computational models—from linear regression to random walks and far beyond—that can turn anyone into a genius. At the core of the book is Page's "many-model paradigm," which shows the reader how to apply multiple models to organize the data, leading to wiser choices, more accurate predictions, and more robust designs. The Model Thinker provides a toolkit for business people, students, scientists, pollsters, and bloggers to make them better, clearer thinkers, able to leverage data and information to their advantage.

Machine Learning with R

2019-04-15
Machine Learning with R

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  • Author: Brett Lantz
  • Publisher: Packt Publishing Ltd
  • ISBN: 1788291557
  • Category : Computers
  • Languages : en
  • Pages : 459

Solve real-world data problems with R and machine learning Key Features Third edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyond Harness the power of R to build flexible, effective, and transparent machine learning models Learn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett Lantz Book Description Machine learning, at its core, is concerned with transforming data into actionable knowledge. R offers a powerful set of machine learning methods to quickly and easily gain insight from your data. Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine learning to real-world problems. Whether you are an experienced R user or new to the language, Brett Lantz teaches you everything you need to uncover key insights, make new predictions, and visualize your findings. This new 3rd edition updates the classic R data science book to R 3.6 with newer and better libraries, advice on ethical and bias issues in machine learning, and an introduction to deep learning. Find powerful new insights in your data; discover machine learning with R. What you will learn Discover the origins of machine learning and how exactly a computer learns by example Prepare your data for machine learning work with the R programming language Classify important outcomes using nearest neighbor and Bayesian methods Predict future events using decision trees, rules, and support vector machines Forecast numeric data and estimate financial values using regression methods Model complex processes with artificial neural networks — the basis of deep learning Avoid bias in machine learning models Evaluate your models and improve their performance Connect R to SQL databases and emerging big data technologies such as Spark, H2O, and TensorFlow Who this book is for Data scientists, students, and other practitioners who want a clear, accessible guide to machine learning with R.

Real World Content Modeling

2019-10-08
Real World Content Modeling

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  • Author: Deane Barker
  • Publisher:
  • ISBN: 9781692295608
  • Category :
  • Languages : en
  • Pages : 198

Too often, content models are developed with no consideration of the system in which they have to operate. This book is an examination of how content actually gets modeled inside a CMS -- what features and architectures are available to translate a theoretical domain model into something that a CMS can manage. If you're looking for a CMS, what features should you look for? Does your current CMS measure up to the state of the market? What is possible in content modeling at this point in the industry? Table of Contents Introduction About this Guide How a CMS Helps (Or Hinders) Your Content Model The Anatomy of a Content Model Eval #1: What is the built-in content model? Timeout: What's the difference between built-in and custom? Eval #2: Can the built-in model be extended with custom content types? Timeout: Opinionated Software Eval #3: What built-in attribute types are available? Timeout: How Content Is Stored Eval #4: How is content represented in the API? Eval #5: How can attribute values be validated? Eval #6: How is the model supported in the editorial interface? Eval #7: Can an attribute value be a reference to another object? Timeout: Let's Evaluate the Current Level of Functionality Eval #8: Can an attribute value be an embedded content object? Eval #9: Can custom validation rules be built? Eval #10: Can custom attribute types be created? Eval #11: Can attribute values repeat? Eval #12: Can types be formed through inheritance or composition? Eval #13: Can content objects be organized into a hierarchy? Eval #14: Can content objects inherit from other content objects? Eval #15: What is the relationship between "pages" and "content"? Eval #16: Can access to types and attributes be limited by user permissions? Eval #17: How can rich text fields be structured? Eval #18: What options are available for dynamic page composition? Eval #19: What aggregation structures are available to organize content? Timeout: What Is and Isn't Considered "Content"? Eval #20: How can types be changed after object creation? Eval #21: How does the system model file assets? Eval #22: By what method is the content model actually defined? Eval #23: How does the system's API support the model? Conclusion Postscript: Thoughts on Model Interoperability About the Author