Science Web Text


Book Description

This textbook follows the QCA Scheme of Work. It has extended page layout to allow full coverage of topics and learning objectives and learning methods to support student planning and learning at the start of each chapter. Ideas and evidence in science are fully supported and homework and revision questions are included at the end of each chapter.




R for Data Science


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




Science Web


Book Description

This series contains materials that cover Key Stage 3 National Curriculum science and the Scheme of Work for Science. This particular textbook includes learning objectives that are clearly defined at the start of each unit, key words, learning summary pages in each unit to support the development of study skills and a range of inspirational materials to challenge pupils.




Web Social Science


Book Description

Although written simply enough to be accessible to undergraduates, accomplished scholars are likely to appreciate it too. Reading it taught me quite a lot about a subject I thought I knew rather well. - Paul Vogt, Illinois State University "This book brings the art and science of building and applying innovative online research tools to students and faculty across the social sciences." - William H. Dutton, University of Oxford A comprehensive guide to the theory and practice of web Social Science. This book demonstrates how the web is being used to collect social research data, such as online surveys and interviews, as well as digital trace data from social media environments, such as Facebook and Twitter. It also illuminates how the advent of the web has led to traditional social science concepts and approaches being combined with those from other scientific disciplines, leading to new insights into social, political and economic behaviour. Situating social sciences in the digital age, this book aids: understanding of the fundamental changes to society, politics and the economy that have resulted from the advent of the web choice of appropriate data, tools and research methods for conducting research using web data learning how web data are providing new insights into long-standing social science research questions appreciation of how social science can facilitate an understanding of life in the digital age It is ideal for students and researchers across the social sciences, as well as those from information science, computer science and engineering who want to learn about how social scientists are thinking about and researching the web.




Network Science


Book Description

Illustrated throughout in full colour, this pioneering text is the only book you need for an introduction to network science.




Science and Health


Book Description




Christ, Science, and Reason


Book Description

This is currently the only volume that comprehensively presents the scientific evidence in support of Jesus, the Eucharist, and Mary. Father Robert Spitzer, S.J., closely examines the scientific evidence for: The Passion and Resurrection of Jesus from the Shroud of Turin The Real Presence of Jesus in the Holy Eucharist from three recent scientifically investigated Eucharistic miracles The supernatural dimensions of the apparitions of Mary manifest in the Tilma of Guadalupe, the Miracle of the Sun at Fatima, and many healing miracles connected with the Grotto of Lourdes. This work also presents a summary of contemporary historical and exegetical evidence for the historicity, Passion, and Resurrection of Jesus, and concludes with a consideration of the Catholic Church and science—particularly the Church’s contributions to science, the complementarity of science and the Bible, and the complementarity of physical evolution and the creation of a soul. The book makes clear that the Catholic Church is not anti-science, but quite the opposite—it is one of the most scientifically aware religious denominations in the world. It will also be clear that science is not anti-God, anti-Christ, or anti-religious. On the contrary, its tools and methods give considerable credible evidence for all of them.




Python Data Science Handbook


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




Genre Networks


Book Description

This innovative book employs genre as a fruitful lens for exploring the complexity of science communication online and the new genre assemblages formed at the interface of multiple genres in digital environments. Pérez-Llantada and Luzón argue for a conceptualization of Science 2.0 that views digital genres in conjunction with other genres, accounting for the ways in which diverse Internet users choose different points of entry for accessing information on science of varied depth, views, and perspectives. Taking Swales’s conceptualization of forms of genre collectivity as its point of departure, the book puts forward this new understanding of multisemiotic genre assemblages in digital science communication, considering dimensions of hypertextuality, intertextuality, and multimodality in the interdependent relations between genres. The volume draws on a range of case studies each with a distinct genre assemblage and social agenda, exploring such areas as high stakes science, open peer review, science reproducibility, citizen science, and social media networking. Offering new directions for future research on genre studies and digital science communication, Genre Networks: Intersemiotic Relations in Digital Science Communication will be of interest to scholars in these fields, as well as those working in multimodality, language and communication, and languages for academic purposes.




Benchmarks for Science Literacy


Book Description

Published to glowing praise in 1990, Science for All Americans defined the science-literate American--describing the knowledge, skills, and attitudes all students should retain from their learning experience--and offered a series of recommendations for reforming our system of education in science, mathematics, and technology. Benchmarks for Science Literacy takes this one step further. Created in close consultation with a cross-section of American teachers, administrators, and scientists, Benchmarks elaborates on the recommendations to provide guidelines for what all students should know and be able to do in science, mathematics, and technology by the end of grades 2, 5, 8, and 12. These grade levels offer reasonable checkpoints for student progress toward science literacy, but do not suggest a rigid formula for teaching. Benchmarks is not a proposed curriculum, nor is it a plan for one: it is a tool educators can use as they design curricula that fit their student's needs and meet the goals first outlined in Science for All Americans. Far from pressing for a single educational program, Project 2061 advocates a reform strategy that will lead to more curriculum diversity than is common today. IBenchmarks emerged from the work of six diverse school-district teams who were asked to rethink the K-12 curriculum and outline alternative ways of achieving science literacy for all students. These teams based their work on published research and the continuing advice of prominent educators, as well as their own teaching experience. Focusing on the understanding and interconnection of key concepts rather than rote memorization of terms and isolated facts, Benchmarks advocates building a lasting understanding of science and related fields. In a culture increasingly pervaded by science, mathematics, and technology, science literacy require habits of mind that will enable citizens to understand the world around them, make some sense of new technologies as they emerge and grow, and deal sensibly with problems that involve evidence, numbers, patterns, logical arguments, and technology--as well as the relationship of these disciplines to the arts, humanities, and vocational sciences--making science literacy relevant to all students, regardless of their career paths. If Americans are to participate in a world shaped by modern science and mathematics, a world where technological know-how will offer the keys to economic and political stability in the twenty-first century, education in these areas must become one of the nation's highest priorities. Together with Science for All Americans, Benchmarks for Science Literacy offers a bold new agenda for the future of science education in this country, one that is certain to prepare our children for life in the twenty-first century.