Readers are encouraged to do math rather than just study it. The author draws upon his experience as a coach for the International Mathematics Olympiad to give students an enhanced sense of mathematics and the ability to investigate and solve problems.

    Now in a new Ninth Edition, this reader-friendly book has been completely revised and improved to ensure that the learning experience is enhanced. It's built on the strength of Irwin's problem-solving methodology, providing readers with a strong foundation as they advance in the field.

    Created through a "student-tested, faculty-approved" review process with over 150 students and faculty, PSYCH 2 is an engaging and accessible solution to accommodate the diverse lifestyles of today's learners.

    The presentation stresses analytical methods, concrete examples, and geometric intuition. A unique feature of the book is its emphasis on applications. These include mechanical vibrations, lasers, biological rhythms, superconducting circuits, insect outbreaks, chemical oscillators, genetic control systems, chaotic waterwheels, and even a technique for using chaos to send secret messages. In each case, the scientific background is explained at an elementary level and closely integrated with mathematical theory.About the Author:Steven Strogatz is in the Center for Applied Mathematics and the Department of Theoretical and Applied Mathematics at Cornell University. Since receiving his Ph.D. from Harvard university in 1986, Professor Strogatz has been honored with several awards, including the E.M. Baker Award for Excellence, the highest teaching award given by MIT.

    Time-saving study tools help readers arrive at a complete understanding of human anatomy. KEY TOPICS: An Introduction to Anatomy, The Cell, Tissues and Early Embryology, The Integumentary System, The Skeletal System: Osseous Tissue and Skeletal Structure, The Skeletal System: Axial Division, The Skeletal System: Appendicular Division, The Skeletal System: Articulations, The Muscular System: Skeletal Muscle Tissue and Muscle Organization, The Muscular System: Axial Musculature, The Muscular System: Appendicular Musculature, Surface Anatomy and Cross-Sectional Anatomy, The Nervous System: Neural Tissue, The Nervous System: The Spinal Cord and Spinal Nerves, The Nervous System: The Brain and Cranial Nerves, The Nervous System: Pathways And Higher-Order Functions, The Nervous System:  Autonomic Division, The Nervous System: General and Special Senses, The Endocrine System, The Cardiovascular System: Blood, The Cardiovascular System: The Heart, The Cardiovascular System: Vessels and Circulation, The Lymphoid System, The Respiratory System, The Digestive System, The Urinary System, The Reproductive System, The Reproductive System: Embryology and HumanDevelopment. MARKET: For all readers interested in human anatomy.

    In this richly illustrated book, accessible examples are used to show how information theory can be understood in terms of everyday games like '20 Questions', and the simple MatLab programs provided give hands-on experience of information theory in action. Written in a tutorial style, with a comprehensive glossary, this text represents an ideal primer for novices who wish to become familiar with the basic principles of information theory.Download chapter 1 from http://jim-stone.staff.shef.ac.uk/Boo...

    For five years in his mid-twenties, he sailed on the BEAGLE around the world, exploring jungles, climbing mountains, trekking across deserts. With every new landfall, he had new adventures: he rode through bandit country, was thrown into jail by revolutionaries, took part in an armed raid with marines, survived two earthquakes, hunted and fished. He suffered the terrible cold and rain of Tierra del Fuego, the merciless heat of the Australian outback and the inner pangs of heartbreak. He also made the discoveries that finally led him to formulate his theory of Natural Selection as the driving force of evolution. The five-year voyage of the BEAGLE was the basis for all Darwin's later work; but it also turned him from a friendly idler into the greatest scientist of his century. Kevin Jackson is a writer, broadcaster and film-maker. His most recent book is Constellation of Genius: 1922 and All That Jazz (Farrar Strauss Giroux, 2013). He lives in Cambridge, England.

    It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models.

    The first chapter describes basic features of the program and shows how to use it in simple arithmetic operations with scalars. The next two chapters focus on the topic of arrays (the basis of MATLAB), while the remaining text covers a wide range of other applications. Computer screens, tutorials, samples, and homework questions in math, science, and engineering, provide the student with the practical hands-on experience needed for total proficiency.

    They are converted to metric units using realistic data to help students grasp what is feasible in engineering practice.

    Features exceptionally clear explanations and descriptions, step-by-step examples, more than 50 practical applications, over 2000 easy-to-challenging practice problems, and comprehensive coverage of essentials. PSpice, OrCAd version 9.2 Lite Edition, Multisims 2001 version of Electronics Workbench, and MathCad software references and examples are used throughout. Computer programs (C++, BASIC and PSpice) are printed in color, as they run, at the point in the book where they are discussed. Current and Voltage. Resistance. Ohm's Law, Power, and Energy. Series Circuits. Parallel Circuits. Series-Parallel Networks. Methods of Analysis & Selected Topics. Network Theorems. Capacitors. Magnetic Circuits. Inductors. Sinusodial Alternating Waveforms. The Basic Elements and Phasors. Series and Parallel ac Circuits. Series-Parallel ac Networks. Methods of Analysis and Related Topics. Network Theorems (ac). Power (ac). Resonance. Transformers. Polyphase Systems. Decibels, Filters, and Bode Points. Pulse Waveforms and the R-C Response. Nonsinusodial Circuits. System Analysis: An Introduction. For those working in electronic technology.

    For the calculus-based General Physics course primarily taken by engineers and scientists.

    To reach this unique audience, Whitlock and Schluter motivate learning with interesting biological and medical examples; they emphasize intuitive understanding; and they focus on real data. The book covers basic topics in introductory statistics, including graphs, confidence intervals, hypothesis testing, comparison of means, regression, and designing experiments. It also introduces the principles behind such modern topics as likelihood, linear models, meta-analysis and computer-intensive methods. Instructors and students consistently praise the book's clear and engaging writing, strong visualization techniques, and its variety of fascinating and relevant biological examples.

    It includes a complete chapter on C++ and an overall organization designed to appeal to the many programmers who view C as a stepping stone to C++ and the object-oriented paradigm. This edition also features an increased emphasis on modules and ADTs, which are essential concepts for creating reusable code and which show how to use header files to tie together a multi-file program. computer science students.

    These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics, and cryptography. This textbook introduces theory in tandem with applications. Information theory is taught alongside practical communication systems, such as arithmetic coding for data compression and sparse-graph codes for error-correction. A toolbox of inference techniques, including message-passing algorithms, Monte Carlo methods, and variational approximations, are developed alongside applications of these tools to clustering, convolutional codes, independent component analysis, and neural networks. The final part of the book describes the state of the art in error-correcting codes, including low-density parity-check codes, turbo codes, and digital fountain codes -- the twenty-first century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, David MacKay's groundbreaking book is ideal for self-learning and for undergraduate or graduate courses. Interludes on crosswords, evolution, and sex provide entertainment along the way. In sum, this is a textbook on information, communication, and coding for a new generation of students, and an unparalleled entry point into these subjects for professionals in areas as diverse as computational biology, financial engineering, and machine learning.