The Biology Book
The Biology Book

Author: DK

Publisher: Penguin

Published: 2021-06-29

Total Pages: 714

ISBN-13: 0744050766

DOWNLOAD EBOOK

Learn about the most important discoveries and theories of this science in The Biology Book. Part of the fascinating Big Ideas series, this book tackles tricky topics and themes in a simple and easy to follow format. Learn about Biology in this overview guide to the subject, great for novices looking to find out more and experts wishing to refresh their knowledge alike! The Biology Book brings a fresh and vibrant take on the topic through eye-catching graphics and diagrams to immerse yourself in. This captivating book will broaden your understanding of Biology, with: - More than 95 ideas and events key to the development of biology and the life sciences - Packed with facts, charts, timelines and graphs to help explain core concepts - A visual approach to big subjects with striking illustrations and graphics throughout - Easy to follow text makes topics accessible for people at any level of understanding The Biology Book is a captivating introduction to understanding the living world and explaining how its organisms work and interact - whether microbes, mushrooms, or mammals. Here you'll discover key areas of the life sciences, including ecology, zoology, and biotechnology, through exciting text and bold graphics. Your Biology Questions, Simply Explained This book will outline big biological ideas, like the mysteries of DNA and genetic inheritance; and how we learned to develop vaccines that control diseases. If you thought it was difficult to learn about the living world, The Biology Book presents key information in a clear layout. Here you'll learn about cloning, neuroscience, human evolution, and gene editing, and be introduced to the scientists who shaped these subjects, such as Carl Linnaeus, Jean-Baptiste Lamarck, Charles Darwin, and Gregor Mendel. The Big Ideas Series With millions of copies sold worldwide, The Biology Book is part of the award-winning Big Ideas series from DK. The series uses striking graphics along with engaging writing, making big topics easy to understand.

Mapping Biology Knowledge
Mapping Biology Knowledge

Author: K. Fisher

Publisher: Springer Science & Business Media

Published: 2001-11-30

Total Pages: 228

ISBN-13: 9781402002731

DOWNLOAD EBOOK

Mapping Biology Knowledge addresses two key topics in the context of biology, promoting meaningful learning and knowledge mapping as a strategy for achieving this goal. Meaning-making and meaning-building are examined from multiple perspectives throughout the book. In many biology courses, students become so mired in detail that they fail to grasp the big picture. Various strategies are proposed for helping instructors focus on the big picture, using the `need to know' principle to decide the level of detail students must have in a given situation. The metacognitive tools described here serve as support systems for the mind, creating an arena in which learners can operate on ideas. They include concept maps, cluster maps, webs, semantic networks, and conceptual graphs. These tools, compared and contrasted in this book, are also useful for building and assessing students' content and cognitive skills. The expanding role of computers in mapping biology knowledge is also explored.

Tree of Knowledge
Tree of Knowledge

Author: Humberto R. Maturana

Publisher: Shambhala

Published: 1992

Total Pages: 260

ISBN-13: 9780877736424

DOWNLOAD EBOOK

"Knowing how we know" is the subject of this book. Its authors present a new view of cognition that has important social and ethical implications, for, they assert, the only world we humans can have is the one we create together through the actions of our coexistence. Written for a general audience as well as for students, scholars, and scientists and abundantly illustrated with examples from biology, linguistics, and new social and cultural phenomena, this revised edition includes a new afterword by Dr. Varela, in which he discusses the effect the book has had in the years since its first publication.

Why Study Biology by the Sea?
Why Study Biology by the Sea?

Author: Karl S. Matlin

Publisher:

Published: 2020

Total Pages: 366

ISBN-13: 022667293X

DOWNLOAD EBOOK

"Since the middle of the 19th century, biologists have migrated to the seashore to study marine organisms as a way of understanding life. By the turn of the 20th century, such work was being done inside permanent seaside field stations. The Stazione Zoologica, in Naples, Italy (from 1874), and the Marine Biological Laboratory, in Woods Hole, Massachusetts (from 1888), attracted leaders in many biological fields, and helped establish biology as a modern science. Why Study Biology by the Sea? tells the story of these unique scientific institutions while attempting to answer the contemporary question, "Why study biology by the sea?" The volume examines the origins and value of these places via perspectives that range from cell biology to philosophy of science"--

Indigenous Knowledge, Ecology, and Evolutionary Biology
Indigenous Knowledge, Ecology, and Evolutionary Biology

Author: Raymond Pierotti

Publisher: Routledge

Published: 2010-09-10

Total Pages: 602

ISBN-13: 1136939016

DOWNLOAD EBOOK

Indigenous ways of understanding and interacting with the natural world are characterized as Traditional Ecological Knowledge (TEK), which derives from emphasizing relationships and connections among species. This book examines TEK and its strengths in relation to Western ecological knowledge and evolutionary philosophy. Pierotti takes a look at the scientific basis of this approach, focusing on different concepts of communities and connections among living entities, the importance of understanding the meaning of relatedness in both spiritual and biological creation, and a careful comparison with evolutionary ecology. The text examines the themes and principles informing this knowledge, and offers a look at the complexities of conducting research from an indigenous perspective.

Teaching Biology in Schools
Teaching Biology in Schools

Author: Kostas Kampourakis

Publisher: Routledge

Published: 2018-05-23

Total Pages: 293

ISBN-13: 1351615211

DOWNLOAD EBOOK

An indispensable tool for biology teacher educators, researchers, graduate students, and practising teachers, this book presents up-to-date research, addresses common misconceptions, and discusses the pedagogical content knowledge necessary for effective teaching of key topics in biology. Chapters cover core subjects such as molecular biology, genetics, ecology, and biotechnology, and tackle broader issues that cut across topics, such as learning environments, worldviews, and the nature of scientific inquiry and explanation. Written by leading experts on their respective topics from a range of countries across the world, this international book transcends national curricula and highlights global issues, problems, and trends in biology literacy.

Learning and Inference in Computational Systems Biology
Learning and Inference in Computational Systems Biology

Author: Neil D. Lawrence

Publisher:

Published: 2010

Total Pages: 384

ISBN-13:

DOWNLOAD EBOOK

Tools and techniques for biological inference problems at scales ranging from genome-wide to pathway-specific. Computational systems biology unifies the mechanistic approach of systems biology with the data-driven approach of computational biology. Computational systems biology aims to develop algorithms that uncover the structure and parameterization of the underlying mechanistic model--in other words, to answer specific questions about the underlying mechanisms of a biological system--in a process that can be thought of as learning or inference. This volume offers state-of-the-art perspectives from computational biology, statistics, modeling, and machine learning on new methodologies for learning and inference in biological networks.The chapters offer practical approaches to biological inference problems ranging from genome-wide inference of genetic regulation to pathway-specific studies. Both deterministic models (based on ordinary differential equations) and stochastic models (which anticipate the increasing availability of data from small populations of cells) are considered. Several chapters emphasize Bayesian inference, so the editors have included an introduction to the philosophy of the Bayesian approach and an overview of current work on Bayesian inference. Taken together, the methods discussed by the experts in Learning and Inference in Computational Systems Biology provide a foundation upon which the next decade of research in systems biology can be built. Florence d'Alch e-Buc, John Angus, Matthew J. Beal, Nicholas Brunel, Ben Calderhead, Pei Gao, Mark Girolami, Andrew Golightly, Dirk Husmeier, Johannes Jaeger, Neil D. Lawrence, Juan Li, Kuang Lin, Pedro Mendes, Nicholas A. M. Monk, Eric Mjolsness, Manfred Opper, Claudia Rangel, Magnus Rattray, Andreas Ruttor, Guido Sanguinetti, Michalis Titsias, Vladislav Vyshemirsky, David L. Wild, Darren Wilkinson, Guy Yosiphon