Science Essentials, Grades 5-6 PDF Download
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Author: Carson-Dellosa Publishing Staff
Publisher: American Education Publishing
ISBN: 9780769660493
Category : Science
Languages : en
Pages : 0
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Book Description
Designed by leading experts in the field of science education, this hands-on science workbook provides aspiring scientists, in fifth and sixth grade, the tools they need to become actively involved with science. Science Essentials leads children through the processes of observation and experimentation, prediction and drawing conclusions. It covers all the essential science topics like the scientific method, the animal kingdom, the human body, genetics, animal and plant cells, plants, food chains and webs, environment, geology, meteorology, the solar system, elements, electricity, sound, and simple and compound machines. Step-by-step lessons and hands-on experiments are provided in an exciting and easy-to-follow way. A periodic table of the elements poster with stickers of the individual elements are included. Science Essentials is the most complete book that offers: * Challenging and motivating science investigations * Hands-on approach to science learning. * Complete directions and examples to encourage independent study. * Vivid, full-color illustrations to spark the learner's interest. * An answer key to measure student performance.
Author: Carson-Dellosa Publishing Staff
Publisher: American Education Publishing
ISBN: 9780769660493
Category : Science
Languages : en
Pages : 0
Get Book Here
Book Description
Designed by leading experts in the field of science education, this hands-on science workbook provides aspiring scientists, in fifth and sixth grade, the tools they need to become actively involved with science. Science Essentials leads children through the processes of observation and experimentation, prediction and drawing conclusions. It covers all the essential science topics like the scientific method, the animal kingdom, the human body, genetics, animal and plant cells, plants, food chains and webs, environment, geology, meteorology, the solar system, elements, electricity, sound, and simple and compound machines. Step-by-step lessons and hands-on experiments are provided in an exciting and easy-to-follow way. A periodic table of the elements poster with stickers of the individual elements are included. Science Essentials is the most complete book that offers: * Challenging and motivating science investigations * Hands-on approach to science learning. * Complete directions and examples to encourage independent study. * Vivid, full-color illustrations to spark the learner's interest. * An answer key to measure student performance.
Author:
Publisher: Carson-Dellosa Publishing
ISBN: 1483825051
Category : Education
Languages : en
Pages : 128
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Book Description
Physical Science for grades 5 to 12 is designed to aid in the review and practice of physical science topics. Physical Science covers topics such as scientific measurement, force and energy, matter, atoms and elements, magnetism, and electricity. The book includes realistic diagrams and engaging activities to support practice in all areas of physical science. The 100+ Series science books span grades 5 to 12. The activities in each book reinforce essential science skill practice in the areas of life science, physical science, and earth science. The books include engaging, grade-appropriate activities and clear thumbnail answer keys. Each book has 128 pages and 100 pages (or more) of reproducible content to help students review and reinforce essential skills in individual science topics. The series is aligned to current science standards.
Author: McGraw Hill
Publisher: McGraw-Hill Education
ISBN: 9780076792382
Category : Science
Languages : en
Pages : 0
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Book Description
Inspire Science 2.0 science handbook is an easy-to-use research and reference tool covering all core science topics which teaches students research and cross-referencing skills.
Author: Great Source Education Group
Publisher: Great Source Education Group
ISBN: 9780669481914
Category : Science
Languages : en
Pages : 0
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Book Description
[This] is a resource book [for] you ... to keep it handy for those times when you are not clear about a science topic and need a place to look up definitions, procedures, explanations, and diagrams.-How this book is organized. [This book] addresses key science topics including: scientific investigation; working in the lab; life science; earth science; physical science; natural resources and the environment; science, technology, and society. An ideal resource in science class, during lab time, and at home, [This book] also includes a handy almanac with tables, charts and graphs, test-taking and researching skills, science timelines and glossaries, and more.-Back cover.
Author: Jake VanderPlas
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912138
Category : Computers
Languages : en
Pages : 609
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Book Description
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521
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Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author: American Education
Publisher: American Education Publishing
ISBN: 9781561895014
Category : Science
Languages : en
Pages : 0
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Book Description
A science textbook for first and second graders.
Author: Vickie A. Vaclavik
Publisher: Springer Science & Business Media
ISBN: 146149138X
Category : Technology & Engineering
Languages : en
Pages : 499
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Book Description
The fourth edition of this classic text continues to use a multidisciplinary approach to expose the non-major food science student to the physical and chemical composition of foods. Additionally, food preparation and processing, food safety, food chemistry, and food technology applications are discussed in this single source of information. The book begins with an Introduction to Food Components, Quality and Water. Next, it addresses Carbohydrates in Food, Starches, Pectins and Gums. Grains: Cereals, Flour, Rice and Pasta, and Vegetables and Fruits follow. Proteins in Food, Meat, Poultry, Fish, and Dry Beans; Eggs and Egg Products, Milk and Milk Products as well as Fats and Oil Products, Food Emulsions and Foams are covered. Next, Sugar, Sweeteners, and Confections and a chapter on Baked Products Batters and Dough is presented. A new section entitled Aspects of Food Processing covers information on Food Preservation, Food Additives, and Food Packaging. Food Safety and Government Regulation of the Food Supply and Labeling are also discussed in this text. As appropriate, each chapter discusses the nutritive value and safety issues of the highlighted commodity. The USDA My Plate is utilized throughout the chapters. A Conclusion, Glossary and further References as well as Bibliography are included in each chapter. Appendices at the end of the book include a variety of current topics such as Biotechnology, Functional Foods, Nutraceuticals, Phytochemicals, Medical Foods, USDA Choosemyplate.gov, Food Label Health Claims, Research Chefs Association certification, Human Nutrigenomics and New Product Development.
Author: Carla Zembal-Saul
Publisher: Prentice Hall
ISBN: 9780132117265
Category : Education
Languages : en
Pages : 162
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Book Description
With the view that children are capable young scientists, authors encourage science teaching in ways that nurture students' curiosity about how the natural world works including research-based approaches to support all K-5 children constructing scientific explanations via talk and writing. Grounded in NSF-funded research, this book/DVD provides K-5 teachers with a framework for explanation (Claim, Evidence, Reasoning) that they can use to organize everything from planning to instructional strategies and from scaffolds to assessment. Because the framework addresses not only having students learn scientific explanations but also construct them from evidence and evaluate them, it is considered to build upon the new NRC framework for K-12 science education, the national standards, and reform documents in science education, as well as national standards in literacy around argumentation and persuasion, including the Common Core Standards for English Language Arts (Common Core State Standards Initiative, 2010).The chapters guide teachers step by step through presenting the framework for students, identifying opportunities to incorporate scientific explanation into lessons, providing curricular scaffolds (that fade over time) to support all students including ELLs and students with special needs, developing scientific explanation assessment tasks, and using the information from assessment tasks to inform instruction.
Author: Ian Goodfellow
Publisher: MIT Press
ISBN: 0262337371
Category : Computers
Languages : en
Pages : 801
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Book Description
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives. “Written by three experts in the field, Deep Learning is the only comprehensive book on the subject.” —Elon Musk, cochair of OpenAI; cofounder and CEO of Tesla and SpaceX Deep learning is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts. Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning. The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models. Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.
