This primer helps students brush up on the quantitative skills they need to succeed in biology. Presented in brief, accessible units, the book covers topics such as working with powers, logarithms, using and understanding graphs, calculating standard deviation, preparing a dilution series, choosing the right statistical test, analyzing enzyme kinetics, and many more.
This third edition of Catch up Compendiumcontains the most up-to-date editions of the three existing Catch Upbooks: Biology, Chemistryand Maths & Stats. It provides over 600 pages of background material essential for any student studying courses in the biological and biomedical sciences. The book provides a bridge between school and university courses and provides invaluable support for the fundamental concepts covered during first year university modules. Catch Up Compendiumis a unique combination: course book, revision guide, and reference source - your first year studies will be much easier with a copy by your side.
Many students now begin life and medical science degrees with far less knowledge of chemistry than they need - and they struggle as a result. Catch Up Chemistry brings students up to speed with the subject quickly and easily. The book puts the essential chemistry into real biological context and is written in an extremely student-friendly manner: the text is concise and to the point; the equations are clearly laid out and explained. Key Features: •Provides all the core chemistry required for a medical sciences degree •Numerous examples to demonstrate the relevance to biology and medicine •Test Yourself questions at the end of each chapter to help the reader practise what they have learned •Student-friendly format and price
Building on the success of Catch Up Chemistry and Catch Up Maths & Stats, this title is an invaluable primer for any student wishing to get up to speed with the biology required for their degree. The book takes a hierarchical approach, starting with an introduction to the molecules of life, moving on to consider cells and their functions, how cells are assembled into tissues and ultimately the various systems of the body. Biology is a huge subject so this text selects material that will be most useful to students studying courses related to medicine and the medical sciences.
Author: Erin N. Bodine
Publisher: Princeton University Press
Release Date: 2014-08-17
The life sciences deal with a vast array of problems at different spatial, temporal, and organizational scales. The mathematics necessary to describe, model, and analyze these problems is similarly diverse, incorporating quantitative techniques that are rarely taught in standard undergraduate courses. This textbook provides an accessible introduction to these critical mathematical concepts, linking them to biological observation and theory while also presenting the computational tools needed to address problems not readily investigated using mathematics alone. Proven in the classroom and requiring only a background in high school math, Mathematics for the Life Sciences doesn't just focus on calculus as do most other textbooks on the subject. It covers deterministic methods and those that incorporate uncertainty, problems in discrete and continuous time, probability, graphing and data analysis, matrix modeling, difference equations, differential equations, and much more. The book uses MATLAB throughout, explaining how to use it, write code, and connect models to data in examples chosen from across the life sciences. Provides undergraduate life science students with a succinct overview of major mathematical concepts that are essential for modern biology Covers all the major quantitative concepts that national reports have identified as the ideal components of an entry-level course for life science students Provides good background for the MCAT, which now includes data-based and statistical reasoning Explicitly links data and math modeling Includes end-of-chapter homework problems, end-of-unit student projects, and select answers to homework problems Uses MATLAB throughout, and MATLAB m-files with an R supplement are available online Prepares students to read with comprehension the growing quantitative literature across the life sciences Forthcoming online answer key, solution guide, and illustration package (available to professors)
Eric Widmaier (Boston University), Hershel Raff (Medical College of Wisconsin), and Kevin Strang (University of Wisconsin) have taken on the challenge of maintaining the strengths and reputation of VanderËs Human Physiology: The Mechanisms of Body Function. Moving beyond the listing of mere facts, it stresses the causal chains of events that constitute the mechanisms of body function. The fundamental purpose of this textbook is to present the principles and facts of human physiology in a format that is suitable for undergraduates regardless of academic background or field of study. VanderËs Human Physiology, thirteenth edition, carries on the tradition of clarity and accuracy, while refining and updating the content to meet the needs of todayËs instructors and students. The thirteenth edition features a streamlined, clinically oriented focus to the study of human body systems. It has also responded to reviewer requests for more clinical applications. Physiology Inquiries are maintained throughout the chapters. These critical-thinking questions associated with figures are just one more opportunity to add to the studentËs learning experience.
Author: John E. McMurry
Publisher: Cengage Learning
Release Date: 2014-01-31
Renowned for its student-friendly writing style and fresh perspective, this fully updated Third Edition of John McMurry's ORGANIC CHEMISTRY WITH BIOLOGICAL APPLICATIONS provides full coverage of the foundations of organic chemistry--enhanced by biological examples throughout. In addition, McMurry discusses the organic chemistry behind biological pathways. New problems, illustrations, and essays have been added. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author: Ben Goldacre
Publisher: McClelland & Stewart
Release Date: 2010-10-12
The informative and witty expose of the "bad science" we are all subjected to, called "one of the essential reads of the year" by New Scientist. We are obsessed with our health. And yet — from the media's "world-expert microbiologist" with a mail-order Ph.D. in his garden shed laboratory, and via multiple health scares and miracle cures — we are constantly bombarded with inaccurate, contradictory, and sometimes even misleading information. Until now. Ben Goldacre masterfully dismantles the questionable science behind some of the great drug trials, court cases, and missed opportunities of our time, but he also goes further: out of the bullshit, he shows us the fascinating story of how we know what we know, and gives us the tools to uncover bad science for ourselves. From the Hardcover edition.
Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic modeling, simulation, and data analysis; make optimal decisions under uncertainty; model and evaluate computer systems and networks; and prepare for advanced probability-based courses. Written in a lively style with simple language, this classroom-tested book can now be used in both one- and two-semester courses. New to the Second Edition Axiomatic introduction of probability Expanded coverage of statistical inference, including standard errors of estimates and their estimation, inference about variances, chi-square tests for independence and goodness of fit, nonparametric statistics, and bootstrap More exercises at the end of each chapter Additional MATLAB® codes, particularly new commands of the Statistics Toolbox In-Depth yet Accessible Treatment of Computer Science-Related Topics Starting with the fundamentals of probability, the text takes students through topics heavily featured in modern computer science, computer engineering, software engineering, and associated fields, such as computer simulations, Monte Carlo methods, stochastic processes, Markov chains, queuing theory, statistical inference, and regression. It also meets the requirements of the Accreditation Board for Engineering and Technology (ABET). Encourages Practical Implementation of Skills Using simple MATLAB commands (easily translatable to other computer languages), the book provides short programs for implementing the methods of probability and statistics as well as for visualizing randomness, the behavior of random variables and stochastic processes, convergence results, and Monte Carlo simulations. Preliminary knowledge of MATLAB is not required. Along with numerous computer science applications and worked examples, the text presents interesting facts and paradoxical statements. Each chapter concludes with a short summary and many exercises.
Author: Stephen M. Stigler
Publisher: Harvard University Press
Release Date: 2016-03-07
Genre: Social Science
What gives statistics its unity as a science? Stephen Stigler sets forth the seven foundational ideas of statistics—a scientific discipline related to but distinct from mathematics and computer science and one which often seems counterintuitive. His original account will fascinate the interested layperson and engage the professional statistician.
Author: Charles Henry Brase
Publisher: Cengage Learning
Release Date: 2016-12-05
UNDERSTANDABLE STATISTICS: CONCEPTS AND METHODS, Twelfth Edition, is a thorough yet accessible program designed to help you overcome any apprehensions you may have about statistics and to master the subject. The authors provide clear guidance and informal advice while showing you the links between statistics and the world. To reinforce this approach—and make the material interesting as well as easier to understand—the book integrates real-life data from a variety of sources, including journals, periodicals, newspapers, and the Internet. You'll also have opportunities to develop your critical-thinking and statistical literacy skills through special features and exercises throughout the text. The use of graphing calculators, Excel, Minitab, Minitab ExpressTM, and SPSS is covered, although not required. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.