Foundation Mathematics for Biosciences

Author: Jackie Willis,Ela Bryson

Publisher: Pearson Higher Ed

ISBN: 027377462X

Category: Mathematics

Page: 384

View: 2163

Foundation Mathematics for Biosciences provides an accessible and clear introduction to mathematical skills for students of the biosciences. The book chapters cover key topic areas and their associated techniques, thereby presenting the maths in context. A student focused pedagogical approach will help students build their confidence, develop their understanding and learn how to apply mathematical techniques within their studies. Students will be able to use the book as a resource to complement their theory-based textbooks and to prepare themselves for practical classes, tutorials and research projects. Key features The book progresses in a logical manner, opening with fundamental problems and then building to more complex calculations aligned to different disciplines in the biosciences. • Worked examples with detailed solutions provide step-by-step guidance through each calculation to help students build their practical skills. • Important rules and key points are highlighted in text boxes to help students consolidate their understanding of techniques and theory. • Illustrations provide insight into what students are likely to encounter in the laboratory. • Self-assessment questions are provided throughout to enable students to manage their learning and track their progress. • Learning objectives and key terms also help students to monitor their study. Suitable for students on courses from the pure end of the spectrum to more applied courses such as biomedical sciences, microbiology, molecular biology, physiology, and forensics. Dr Ela Bryson is Senior Lecturer in Molecular Biology at the School of Life and Medical Sciences at the University of Hertfordshire Dr Jackie Willis is Associate Dean of the School of Life and Medical Sciences at the University if Hertfordshire This book can be supported by MyMathLabGlobal, an online teaching and learning platform designed to build and test your understanding. The book and the MyMathLabGlobal system provide a range of benefits including: • A tool for the diagnosis of existing strengths and weaknesses in maths • A comprehensive set of algorithmically generated questions that can be used by students to practise and develop their skills in an independent and flexible manner and by the tutor to evaluate progress Need extra support? Were you looking for the book with access to MyXLab? This product is the book alone, and does NOT come with access to MyMathLabGlobal. Buy Title with MyMathLabGlobal access card (9780273774655) if you need access to MyMathLabGlobal as well, and save money on this resource. Ask your instructor about using MyLab.
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Foundation Maths for Biosciences

Author: Jackie Willis,Elzbieta Bryson

Publisher: N.A

ISBN: 9780273774655

Category: Biomathematics

Page: 368

View: 3724

This package contains Foundation Mathematics for Biosciences, Book agnostic lab 1e and access to MyMathLab. Important information for students: You need both an access code and a course ID to access MyMathLab. Ask your lecturer before purchasing a MyLab product as you will need a course ID from them before you can gain access to the system. This integrated learning solution, comprising a book and online assessment support (MyMathLabGlobal), provides tools to develop foundation numeracy and maths skills for students of the biosciences. It can be used with courses at the pure end of the spectrum to courses of a highly applied nature, such as biomedical sciences, molecular biology, microbiology, physiology and forensics. The subject coverage has been designed to support the practical as well as theoretical aspects of these courses, and is in large part set in a biological context so that students can directly see the relevance of maths skills to their main subject. This package includes MyMathLab, an online homework, tutorial, and assessment system designed with a single purpose in mind; to improve the results of all higher education students, one student at a time. With a wide range of interactive, engaging, and assignable activities, students are encouraged to actively learn and retain tough course concepts. Find out more at www.MyMathLab.com.
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Essential Mathematical Biology

Author: Nicholas F. Britton

Publisher: Springer Science & Business Media

ISBN: 1447100492

Category: Mathematics

Page: 335

View: 3894

This self-contained introduction to the fast-growing field of Mathematical Biology is written for students with a mathematical background. It sets the subject in a historical context and guides the reader towards questions of current research interest. A broad range of topics is covered including: Population dynamics, Infectious diseases, Population genetics and evolution, Dispersal, Molecular and cellular biology, Pattern formation, and Cancer modelling. Particular attention is paid to situations where the simple assumptions of homogenity made in early models break down and the process of mathematical modelling is seen in action.
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Mathematics for the Biological Sciences

Author: Jagdish C. Arya,Robin W. Lardner

Publisher: Prentice Hall

ISBN: 9780135624395

Category: Mathematics

Page: 709

View: 7643

This volume reviews differential and integral calculus for functions of one variable, differential calculus for several variables, differential equations, probability, difference equations, and matrices -- all with special emphasis on applications in the life sciences.
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Chemistry for the Biosciences

The Essential Concepts

Author: Jonathan Crowe,Tony Bradshaw

Publisher: Oxford University Press

ISBN: 0199662886

Category: Science

Page: 704

View: 7800

Chemistry pervades our life. It moulds our climate, fuels our transport, gives food its taste and smell. Most of all, chemistry powers life itself. Chemistry for the Biosciences leads students through the essential concepts of chemistry that are central to understanding biological systems, using everyday examples and analogies to help them get to grips with the subject. With an emphasis on clear, straightforward explanations, it features biological examples throughout to illustrate just how integral chemistry is to the biosciences. With topics drawn from organic, physical and inorganic chemistry, students will encounter a broad range of essential concepts to master. Chemistry for the Biosciences includes many learning features - both in print and online - to help students grasp these concepts as quickly and thoroughly as possible. From the self-check questions throughout each chapter to help consolidate learning, to the Chemical Toolkits and Maths Tools that help students explore terminology, methods, and numerical skills that may be unfamiliar, the book is written to be a true course companion for students on biological and biomedical science degrees - one that will help them not only remember the essentials, but really understand them, setting students up for success in their later studies.
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Core Maths for the Biosciences

Author: Martin B. Reed

Publisher: Oxford University Press

ISBN: 0199216347

Category: Education

Page: 576

View: 1162

Core Maths for the Biosciences introduces the range of mathematical concepts that bioscience students need to master during thier studies. Starting from fundamental concepts, it blends clear explanations and biological examples throughout as it equips the reader with the full range of mathematical tools required by biologists today.
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Algebraic and Discrete Mathematical Methods for Modern Biology

Author: Raina Robeva

Publisher: Academic Press

ISBN: 0128012714

Category: Mathematics

Page: 382

View: 7769

Written by experts in both mathematics and biology, Algebraic and Discrete Mathematical Methods for Modern Biology offers a bridge between math and biology, providing a framework for simulating, analyzing, predicting, and modulating the behavior of complex biological systems. Each chapter begins with a question from modern biology, followed by the description of certain mathematical methods and theory appropriate in the search of answers. Every topic provides a fast-track pathway through the problem by presenting the biological foundation, covering the relevant mathematical theory, and highlighting connections between them. Many of the projects and exercises embedded in each chapter utilize specialized software, providing students with much-needed familiarity and experience with computing applications, critical components of the "modern biology" skill set. This book is appropriate for mathematics courses such as finite mathematics, discrete structures, linear algebra, abstract/modern algebra, graph theory, probability, bioinformatics, statistics, biostatistics, and modeling, as well as for biology courses such as genetics, cell and molecular biology, biochemistry, ecology, and evolution. Examines significant questions in modern biology and their mathematical treatments Presents important mathematical concepts and tools in the context of essential biology Features material of interest to students in both mathematics and biology Presents chapters in modular format so coverage need not follow the Table of Contents Introduces projects appropriate for undergraduate research Utilizes freely accessible software for visualization, simulation, and analysis in modern biology Requires no calculus as a prerequisite Provides a complete Solutions Manual Features a companion website with supplementary resources
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Foundation Mathematics for the Physical Sciences

Author: K. F. Riley,M. P. Hobson

Publisher: Cambridge University Press

ISBN: 1139492195

Category: Science

Page: N.A

View: 5755

This tutorial-style textbook develops the basic mathematical tools needed by first and second year undergraduates to solve problems in the physical sciences. Students gain hands-on experience through hundreds of worked examples, self-test questions and homework problems. Each chapter includes a summary of the main results, definitions and formulae. Over 270 worked examples show how to put the tools into practice. Around 170 self-test questions in the footnotes and 300 end-of-section exercises give students an instant check of their understanding. More than 450 end-of-chapter problems allow students to put what they have just learned into practice. Hints and outline answers to the odd-numbered problems are given at the end of each chapter. Complete solutions to these problems can be found in the accompanying Student Solutions Manual. Fully-worked solutions to all problems, password-protected for instructors, are available at www.cambridge.org/foundation.
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Essential Laboratory Skills for Biosciences

Author: Mohammed Meah,Elizabeth Kebede-Westhead

Publisher: John Wiley & Sons

ISBN: 1119966760

Category: Science

Page: 152

View: 7315

Essential Laboratory Skills for Biosciences is an essential companion during laboratory sessions. It is designed to be simple and give clear step by step instructions on essential techniques, supported by relevant diagrams. The book includes the use of particular equipment and how to do simple calculations that students come across regularly in laboratory practicals. Written by experienced lecturers this handy pocket book provides: Simple to follow laboratory techniques Clear use of diagrams and illustrations to explain techniques, procedures and equipment Step by step worked out examples of calculations including concentrations, dilutions and molarity Suitable for all first year university students, the techniques in the book will also be useful for postgraduate and final year project students and enhance the practical and theoretical knowledge of all those studying bioscience related subjects.
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Essential Mathematical Methods for the Physical Sciences

Author: K. F. Riley,M. P. Hobson

Publisher: Cambridge University Press

ISBN: 1139492942

Category: Science

Page: N.A

View: 3783

The mathematical methods that physical scientists need for solving substantial problems in their fields of study are set out clearly and simply in this tutorial-style textbook. Students will develop problem-solving skills through hundreds of worked examples, self-test questions and homework problems. Each chapter concludes with a summary of the main procedures and results and all assumed prior knowledge is summarized in one of the appendices. Over 300 worked examples show how to use the techniques and around 100 self-test questions in the footnotes act as checkpoints to build student confidence. Nearly 400 end-of-chapter problems combine ideas from the chapter to reinforce the concepts. Hints and outline answers to the odd-numbered problems are given at the end of each chapter, with fully-worked solutions to these problems given in the accompanying Student Solutions Manual. Fully-worked solutions to all problems, password-protected for instructors, are available at www.cambridge.org/essential.
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The Biology Coloring Book

Author: Robert D. Griffin

Publisher: Harper Collins

ISBN: 0064603075

Category: Study Aids

Page: 256

View: 8059

Readers experience for themselves how the coloring of a carefully designed picture almost magically creates understanding. Indispensable for every biology student.
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Mathematical Logic

Foundations for Information Science

Author: Wei Li

Publisher: Springer

ISBN: 3034808623

Category: Mathematics

Page: 301

View: 9782

Mathematical logic is a branch of mathematics that takes axiom systems and mathematical proofs as its objects of study. This book shows how it can also provide a foundation for the development of information science and technology. The first five chapters systematically present the core topics of classical mathematical logic, including the syntax and models of first-order languages, formal inference systems, computability and representability, and Gödel’s theorems. The last five chapters present extensions and developments of classical mathematical logic, particularly the concepts of version sequences of formal theories and their limits, the system of revision calculus, proschemes (formal descriptions of proof methods and strategies) and their properties, and the theory of inductive inference. All of these themes contribute to a formal theory of axiomatization and its application to the process of developing information technology and scientific theories. The book also describes the paradigm of three kinds of language environments for theories and it presents the basic properties required of a meta-language environment. Finally, the book brings these themes together by describing a workflow for scientific research in the information era in which formal methods, interactive software and human invention are all used to their advantage. The second edition of the book includes major revisions on the proof of the completeness theorem of the Gentzen system and new contents on the logic of scientific discovery, R-calculus without cut, and the operational semantics of program debugging. This book represents a valuable reference for graduate and undergraduate students and researchers in mathematics, information science and technology, and other relevant areas of natural sciences. Its first five chapters serve as an undergraduate text in mathematical logic and the last five chapters are addressed to graduate students in relevant disciplines.
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Geriatric Bioscience

The Link Between Aging and Disease

Author: David Hamerman

Publisher: JHU Press

ISBN: 9780801886928

Category: Medical

Page: 287

View: 6509

It is increasingly important for physicians who treat older persons, and for researchers on aging, to understand how molecular biology informs clinical expressions of aging and age-related conditions such as osteoporosis, diabetes, osteoarthritis, frailty, cancer, and dementia. Dr. David Hamerman translates basic scientific concepts into precepts of clinical practice and sheds light on the links among biology, natural aging, longevity, and disease. Examining the science of geriatrics and converting its concepts into clinical applications, this work provides clinicians and researchers with a solid foundation for a greater understanding of the diagnosis, treatment, and prevention of age-related diseases as well as recommendations for promoting healthy aging.
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Ecosystem-Based Management for the Oceans

Author: Karen McLeod,Heather Leslie

Publisher: Island Press

ISBN: 9781610911313

Category: Science

Page: 392

View: 4563

Conventional management approaches cannot meet the challenges faced by ocean and coastal ecosystems today. Consequently, national and international bodies have called for a shift toward more comprehensive ecosystem-based marine management. Synthesizing a vast amount of current knowledge, Ecosystem-Based Management for the Oceans is a comprehensive guide to utilizing this promising new approach. At its core, ecosystem-based management (EBM) is about acknowledging connections. Instead of focusing on the impacts of single activities on the delivery of individual ecosystem services, EBM focuses on the array of services that we receive from marine systems, the interactive and cumulative effects of multiple human activities on these coupled ecological and social systems, and the importance of working towards common goals across sectors. Ecosystem-Based Management for the Oceans provides a conceptual framework for students and professionals who want to understand and utilize this powerful approach. And it employs case studies that draw on the experiences of EBM practitioners to demonstrate how EBM principles can be applied to real-world problems. The book emphasizes the importance of understanding the factors that contribute to social and ecological resilience —the extent to which a system can maintain its structure, function, and identity in the face of disturbance. Utilizing the resilience framework, professionals can better predict how systems will respond to a variety of disturbances, as well as to a range of management alternatives. Ecosystem-Based Management for the Oceans presents the latest science of resilience, while it provides tools for the design and implementation of responsive EBM solutions.
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A Primer in Biological Data Analysis and Visualization Using R

Author: Gregg Hartvigsen

Publisher: Columbia University Press

ISBN: 0231166990

Category: Science

Page: 160

View: 626

R is a popular programming language that statisticians use to perform a variety of statistical computing tasks. Rooted in Gregg Hartvigsen’s extensive experience teaching biology, this text is an engaging, practical, and lab-oriented introduction to R for students in the life sciences. Underscoring the importance of R and RStudio to the organization, computation, and visualization of biological statistics and data, Hartvigsen guides readers through the processes of entering data into R, working with data in R, and using R to express data in histograms, boxplots, barplots, scatterplots, before/after line plots, pie charts, and graphs. He covers data normality, outliers, and nonnormal data and examines frequently used statistical tests with one value and one sample; paired samples; more than two samples across a single factor; correlation; and linear regression. The volume also includes a section on advanced procedures and a final chapter on possible extensions into programming, featuring a discussion of algorithms, the art of looping, and combining programming and output.
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Experimental Design for Biologists

Author: David J. Glass

Publisher: CSHL Press

ISBN: 0879697350

Category: Science

Page: 206

View: 8191

Experimental Design for Biologists explains how to establish the framework for an experimental project, including the effects of using a hypothesis–driven approach versus a question/answer approach, how to set up a system, design experiments within that system, and how to determine and use the correct set of controls. Separate chapters are devoted to the negative control, the positive control, and other categories of controls which are perhaps less recognized, such as “assumption controls”, and “experimentalist controls.” Further, there are sections on establishing the experimental system, which includes performing critical “system controls”. While the book does reference the use of statistics, statistics is not the focus of this book, but rather the way the scientist should go about framing an experimental question, establishing a validated system to answer the question, and deriving verifiable models from experimental data. There is often very little formal training in this area for biologists; therefore this text serves as an essential teaching tool for understanding the theory and practice of designing a research plan.
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Introduction to Mathematical Oncology

Author: Yang Kuang,John D. Nagy,Steffen E. Eikenberry

Publisher: CRC Press

ISBN: 1584889918

Category: Mathematics

Page: 470

View: 6392

Introduction to Mathematical Oncology presents biologically well-motivated and mathematically tractable models that facilitate both a deep understanding of cancer biology and better cancer treatment designs. It covers the medical and biological background of the diseases, modeling issues, and existing methods and their limitations. The authors introduce mathematical and programming tools, along with analytical and numerical studies of the models. They also develop new mathematical tools and look to future improvements on dynamical models. After introducing the general theory of medicine and exploring how mathematics can be essential in its understanding, the text describes well-known, practical, and insightful mathematical models of avascular tumor growth and mathematically tractable treatment models based on ordinary differential equations. It continues the topic of avascular tumor growth in the context of partial differential equation models by incorporating the spatial structure and physiological structure, such as cell size. The book then focuses on the recent active multi-scale modeling efforts on prostate cancer growth and treatment dynamics. It also examines more mechanistically formulated models, including cell quota-based population growth models, with applications to real tumors and validation using clinical data. The remainder of the text presents abundant additional historical, biological, and medical background materials for advanced and specific treatment modeling efforts. Extensively classroom-tested in undergraduate and graduate courses, this self-contained book allows instructors to emphasize specific topics relevant to clinical cancer biology and treatment. It can be used in a variety of ways, including a single-semester undergraduate course, a more ambitious graduate course, or a full-year sequence on mathematical oncology.
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Mathematical Foundations of Neuroscience

Author: G. Bard Ermentrout,David H. Terman

Publisher: Springer Science & Business Media

ISBN: 0387877088

Category: Mathematics

Page: 422

View: 8469

This book applies methods from nonlinear dynamics to problems in neuroscience. It uses modern mathematical approaches to understand patterns of neuronal activity seen in experiments and models of neuronal behavior. The intended audience is researchers interested in applying mathematics to important problems in neuroscience, and neuroscientists who would like to understand how to create models, as well as the mathematical and computational methods for analyzing them. The authors take a very broad approach and use many different methods to solve and understand complex models of neurons and circuits. They explain and combine numerical, analytical, dynamical systems and perturbation methods to produce a modern approach to the types of model equations that arise in neuroscience. There are extensive chapters on the role of noise, multiple time scales and spatial interactions in generating complex activity patterns found in experiments. The early chapters require little more than basic calculus and some elementary differential equations and can form the core of a computational neuroscience course. Later chapters can be used as a basis for a graduate class and as a source for current research in mathematical neuroscience. The book contains a large number of illustrations, chapter summaries and hundreds of exercises which are motivated by issues that arise in biology, and involve both computation and analysis. Bard Ermentrout is Professor of Computational Biology and Professor of Mathematics at the University of Pittsburgh. David Terman is Professor of Mathematics at the Ohio State University.
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Student Solution Manual for Essential Mathematical Methods for the Physical Sciences

Author: K. F. Riley,M. P. Hobson

Publisher: Cambridge University Press

ISBN: 1139491962

Category: Science

Page: 250

View: 5390

This Student Solution Manual provides complete solutions to all the odd-numbered problems in Essential Mathematical Methods for the Physical Sciences. It takes students through each problem step-by-step, so they can clearly see how the solution is reached, and understand any mistakes in their own working. Students will learn by example how to select an appropriate method, improving their problem-solving skills.
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BIO2010:

Transforming Undergraduate Education for Future Research Biologists

Author: Committee on Undergraduate Biology Education to Prepare Research Scientists for the 21st Century,National Research Council,Division on Earth and Life Studies,Board on Life Sciences

Publisher: National Academies Press

ISBN: 0309085357

Category: Education

Page: 208

View: 9697

Biological sciences have been revolutionized, not only in the way research is conducted -- with the introduction of techniques such as recombinant DNA and digital technology -- but also in how research findings are communicated among professionals and to the public. Yet, the undergraduate programs that train biology researchers remain much the same as they were before these fundamental changes came on the scene. This new volume provides a blueprint for bringing undergraduate biology education up to the speed of today's research fast track. It includes recommendations for teaching the next generation of life science investigators, through: Building a strong interdisciplinary curriculum that includes physical science, information technology, and mathematics. Eliminating the administrative and financial barriers to cross-departmental collaboration. Evaluating the impact of medical college admissions testing on undergraduate biology education. Creating early opportunities for independent research. Designing meaningful laboratory experiences into the curriculum. The committee presents a dozen brief case studies of exemplary programs at leading institutions and lists many resources for biology educators. This volume will be important to biology faculty, administrators, practitioners, professional societies, research and education funders, and the biotechnology industry.
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