Author: Caleb Gattegno
Publisher: Educational Solutions
ISBN: 0878250360
Category : Education
Languages : en
Pages : 60
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Book Description
For use with the Words in Color teaching approach, R0 gives your learner practice with the five basic vowel sounds and spellings found on Chart 0 of the wall-sized or desktop charts. Once these sounds and signs are mastered, R1 provides practice for nine new sounds with 20 new spellings. Learners also begin to read simple sentences, and are well prepared to begin decoding the 59 sounds and 400+ spellings in the English langauge.
Author: Educational Solutions Worldwide Inc
Publisher: Educational Solutions
ISBN: 0878250638
Category : Education
Languages : en
Pages : 136
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Book Description
This book is an introduction to teaching with Words in Color, and will guide you through how to teach all the sounds and spellings found in Reading Primers R0 & R1. In the first section, you will be introduced to some basic characteristics of the approach, and given some simple activities to help get familiar with the materials. The second and third section will take you through Reading Primers R0 & R1 - introducing appropriate teaching techniques and games along the way. The fourth section is a toolbox of teaching techniques and games for various levels of reading, which you can use during R0 & R1, or afterwards into Reading Primers R2 and R3.
Author: Caleb Gattegno
Publisher: Educational Solutions World
ISBN: 0878251847
Category : Education
Languages : en
Pages : 314
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Book Description
"Reading and writing can become as much the birthright of everyone as their speaking has always been." C. Gattegno
Author:
Publisher:
ISBN:
Category : Biochemistry
Languages : en
Pages : 784
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Book Description
Author: Cape of Good Hope (South Africa). Education Department
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 708
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Book Description
Author: Hans Petter Langtangen
Publisher: Springer
ISBN: 3662498871
Category : Computers
Languages : en
Pages : 942
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Book Description
The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science. From the reviews: Langtangen ... does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. ... Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010 Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011 This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science. Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012 “This fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python...” Joan Horvath, Computing Reviews, March 2015
Author: Caleb Gattegno
Publisher:
ISBN:
Category : English language
Languages : en
Pages :
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Book Description
Author: Robert G. Plantz
Publisher: No Starch Press
ISBN: 1718500106
Category : Computers
Languages : en
Pages : 514
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Book Description
This hands-on tutorial is a broad examination of how a modern computer works. Classroom tested for over a decade, it gives readers a firm understanding of how computers do what they do, covering essentials like data storage, logic gates and transistors, data types, the CPU, assembly, and machine code. Introduction to Computer Organization gives programmers a practical understanding of what happens in a computer when you execute your code. You may never have to write x86-64 assembly language or design hardware yourself, but knowing how the hardware and software works will give you greater control and confidence over your coding decisions. We start with high level fundamental concepts like memory organization, binary logic, and data types and then explore how they are implemented at the assembly language level. The goal isn’t to make you an assembly programmer, but to help you comprehend what happens behind the scenes between running your program and seeing “Hello World” displayed on the screen. Classroom-tested for over a decade, this book will demystify topics like: How to translate a high-level language code into assembly language How the operating system manages hardware resources with exceptions and interrupts How data is encoded in memory How hardware switches handle decimal data How program code gets transformed into machine code the computer understands How pieces of hardware like the CPU, input/output, and memory interact to make the entire system work Author Robert Plantz takes a practical approach to the material, providing examples and exercises on every page, without sacrificing technical details. Learning how to think like a computer will help you write better programs, in any language, even if you never look at another line of assembly code again.
Author: Alvin C. Rencher
Publisher: John Wiley & Sons
ISBN: 0470192607
Category : Mathematics
Languages : en
Pages : 690
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Book Description
The essential introduction to the theory and application of linear models—now in a valuable new edition Since most advanced statistical tools are generalizations of the linear model, it is neces-sary to first master the linear model in order to move forward to more advanced concepts. The linear model remains the main tool of the applied statistician and is central to the training of any statistician regardless of whether the focus is applied or theoretical. This completely revised and updated new edition successfully develops the basic theory of linear models for regression, analysis of variance, analysis of covariance, and linear mixed models. Recent advances in the methodology related to linear mixed models, generalized linear models, and the Bayesian linear model are also addressed. Linear Models in Statistics, Second Edition includes full coverage of advanced topics, such as mixed and generalized linear models, Bayesian linear models, two-way models with empty cells, geometry of least squares, vector-matrix calculus, simultaneous inference, and logistic and nonlinear regression. Algebraic, geometrical, frequentist, and Bayesian approaches to both the inference of linear models and the analysis of variance are also illustrated. Through the expansion of relevant material and the inclusion of the latest technological developments in the field, this book provides readers with the theoretical foundation to correctly interpret computer software output as well as effectively use, customize, and understand linear models. This modern Second Edition features: New chapters on Bayesian linear models as well as random and mixed linear models Expanded discussion of two-way models with empty cells Additional sections on the geometry of least squares Updated coverage of simultaneous inference The book is complemented with easy-to-read proofs, real data sets, and an extensive bibliography. A thorough review of the requisite matrix algebra has been addedfor transitional purposes, and numerous theoretical and applied problems have been incorporated with selected answers provided at the end of the book. A related Web site includes additional data sets and SAS® code for all numerical examples. Linear Model in Statistics, Second Edition is a must-have book for courses in statistics, biostatistics, and mathematics at the upper-undergraduate and graduate levels. It is also an invaluable reference for researchers who need to gain a better understanding of regression and analysis of variance.
Author: Justin Solomon
Publisher: CRC Press
ISBN: 1482251892
Category : Computers
Languages : en
Pages : 400
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Book Description
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic desig
