- Table View
- List View
Following the success of Fundamentals of Program Design and Data Structures by Lambert and Naps, C++ Advanced Course is essential for a second course in Computer Science. Completely updated, this text provides in-depth coverage to help students prepare for the AP exam, Exam AB. A full introduction to the essential features of C++ is provided and programming techniques are emphasized in the context of interesting and realistic case problems. This text is compatible with C++ compilers from Microsoft, Borland, and Metrowerks.
Following the success of Fundamentals of C++ by Lambert and Nance, C++ Introductory course is essential for a first course in Computer Science. Completely updated, this text provides in-depth coverage to help students prepare for the AP exam, Exam A. A full introduction to the essential features of C++ is provided and programming techniques are emphasized in the context of interesting and realistic case problems. This text is compatible with C++ compilers from Microsoft, Borland, and Metrowerks.
This is the fourth edition of a very successful textbook on clinical trials methodology, written by three recognized experts who have long and extensive experience in all areas of clinical trials. Most chapters have been revised considerably from the third edition. A chapter on ethics has been added and topics such as noninferiority and adaptive designs now receive considerable discussion. There is much new material on adverse events, adherence, data monitoring, and issues in analysis. This book is intended for the clinical researcher who is interested in designing a clinical trial and developing a protocol. It is also of value to researchers and practitioners who must critically evaluate the literature of published clinical trials and assess the merits of each trial and the implications for the care and treatment of patients. The authors use numerous examples of published clinical trials from a variety of medical disciplines to illustrate the fundamentals. The text is organized sequentially from defining the question to trial closeout. One chapter is devoted to each of the critical areas to aid the clinical trial researcher. These areas include pre-specifying the scientific questions to be tested and appropriate outcome measures, determining the organizational structure, estimating an adequate sample size, specifying the randomization procedure, implementing the intervention and visit schedules for participant evaluation, establishing an interim data and safety monitoring plan, detailing the final analysis plan, and reporting the trial results according to the pre-specified objectives. Although a basic introductory statistics course is helpful in maximizing the benefit of this book, a researcher or practitioner with limited statistical background would still find most if not all the chapters understandable and helpful. While the technical material has been kept to a minimum, the statistician may still find the principles and fundamentals presented in this text useful. This book has been successfully used for teaching courses in clinical trial methodology.
Fundamentals of Combustion Processes is designed as a textbook for an upper-division undergraduate and graduate level combustion course in mechanical engineering. The authors focus on the fundamental theory of combustion and provide a simplified discussion of basic combustion parameters and processes such as thermodynamics, chemical kinetics, ignition, diffusion and pre-mixed flames. The text includes exploration of applications, example exercises, suggested homework problems and videos of laboratory demonstrations
In general, image processing texts are intended for students of engineering and computer science, and there is little written at all on the specific requirements of medical image processing. Students of medical radiation science (Diagnostic radiography, Nuclear medicine, Radiation therapy) usually have minimal mathematical and computer science training and find the available texts incomprehensible. A text that explains the principles of image processing in minimally-mathematical language is needed for these students. Contrary to the claims of some textbook authors, the vast majority of technologists that process images do not need to understand the mathematics involved, but would nevertheless benefit from a thorough understanding of the general process.
This textbook provides an engaging and motivational introduction to traditional topics in discrete mathematics, in a manner specifically designed to appeal to computer science students. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Clearly structured and interactive in nature, the book presents detailed walkthroughs of several algorithms, stimulating a conversation with the reader through informal commentary and provocative questions. Features: no university-level background in mathematics required; ideally structured for classroom-use and self-study, with modular chapters following ACM curriculum recommendations; describes mathematical processes in an algorithmic manner; contains examples and exercises throughout the text, and highlights the most important concepts in each section; selects examples that demonstrate a practical use for the concept in question.
The course focuses on the creation, manipulation, transmission, and reception of information by electronic means. Elementary signal theory; time- and frequency-domain analysis; Sampling Theorem. Digital information theory; digital transmission of analog signals; error-correcting codes.
This book is intended for use in an introductory finance course and provides clear concepts and contemporary theory of finance.
A definitive guide to game theory and design by an industry insider. Comprehensive overview of video game design as it is done in industry. Chapters devoted to each of the major game genres. Exercises of real practical value to help hone your skills. Fundamentals of Game Design, Second Edition teaches the essential theory needed to design entertaining and enjoyable video games. It addresses such key issues as concept development, gameplay design, core mechanics, user interfaces, storytelling, and balancing. The book is aimed at both students in beginning game design courses and anyone that wants to get up-to-speed on the latest game design theory and practice.
Completely revised and updated, Fundamentals of Java: Comprehensive Course covers all of the AP requirements for Computer Science Exams A and AB. By taking a multilevel approach to teaching Java, this text is suitable for a wide range of students, from beginners to those ready for advanced data structures. Since it is non-software specific, it can be used with any Java program compiler, including Borland, Sun Microsystems, Symantec and others.
Hougen (College and Career Readiness Initiative: English/Language Arts Faculty Collaborative, U. of Texas-Austin) and Smartt (National Comprehensive Center for Teacher Quality, Vanderbilt U. ) compile 17 chapters by education scholars and researchers from the US who introduce pre-service teachers and parents to teaching fundamental literacy skills in students in pre-K through sixth grade. Chapters are organized by the main components of reading instruction and the typical development of skills, from phonological awareness to fluency to writing, and include recommended assessment practices, in addition to chapters on literacy in the disciplines and current laws, policies, initiatives, and response to intervention. They end with chapters on putting it all together and tips for becoming an effective teacher. They refer to the most recent standards, including Common Core State Standards, the International Reading Association Standards for Reading Professionals, and The International Dyslexia Association Knowledge and Practice Standards for Teachers of Reading. Annotation Â©2012 Book News, Inc. , Portland, OR (booknews. com)
This book interprets six topics in a biblical perspective: conflict, character, theme, structure, point of view and moral tone.
Fundamentals of Mathematics is a work text that covers the traditional topics studied in a modern prealgebra course, as well as topics of estimation, elementary analytic geometry, and introductory algebra. It is intended for students who have had a previous course in prealgebra, wish to meet the prerequisite of a higher level course such as elementary algebra, and need to review fundamental mathematical concepts and techniques.
Fundamentals of Medical Imaging, Second Edition, provides an invaluable technical introduction to each imaging modality, explaining the mathematical and physical principles of medical imaging and image processing and giving the reader a clear understanding of how they are obtained and interpreted.
This book covers the statistical models and methods that are used to understand human genetics, following the historical and recent developments of human genetics. Starting with Mendel's first experiments to genome-wide association studies, the book describes how genetic information can be incorporated into statistical models to discover disease genes. All commonly used approaches in statistical genetics (e.g. aggregation analysis, segregation, linkage analysis, etc), are used, but the focus of the book is modern approaches to association analysis. Numerous examples illustrate key points throughout the text, both of Mendelian and complex genetic disorders. The intended audience is statisticians, biostatisticians, epidemiologists and quantitatively- oriented geneticists and health scientists wanting to learn about statistical methods for genetic analysis, whether to better analyze genetic data, or to pursue research in methodology. A background in intermediate level statistical methods is required. The authors include few mathematical derivations, and the exercises provide problems for students with a broad range of skill levels. No background in genetics is assumed.
Numerical models have become essential tools in environmental science, particularly in weather forecasting and climate prediction. This book provides a comprehensive overview of the techniques used in these fields, with emphasis on the design of the most recent numerical models of the atmosphere. It presents a short history of numerical weather prediction and its evolution, before describing the various model equations and how to solve them numerically. It outlines the main elements of a meteorological forecast suite, and the theory is illustrated throughout with practical examples of operational models and parameterizations of physical processes. This book is founded on the author's many years of experience, as a scientist at Météo-France and teaching university-level courses. It is a practical and accessible textbook for graduate courses and a handy resource for researchers and professionals in atmospheric physics, meteorology and climatology, as well as the related disciplines of fluid dynamics, hydrology and oceanography.
This edition promotes nursing as an evolving art and science, directed to human health and well-being to prepare nurses with responsible, caring practice. It challenges students to cultivate the blended skills they will need to serve patients and the public well and to identify and master the cognitive and technical skills as well as the interpersonal and ethical/legal skills they will need to effectively nurse the patients in their care.
This book helps readers experience twenty-first-century organizational challenges within the context of learning about communication and organizations. The eighth edition of this book presents the concepts of organizational communication within a unique competency-based approach that incorporates personal knowledge, interpersonal sensitivity, communication skills, and ethical values. It blends theory, practice, and analysis with an emphasis on knowledge, sensitivity, skills, and values.
A very useful book in preparing physics students for careers in science and engineering and future endeavors by contributing to the enhancement of physics education. The fifth edition contains chapter features, viz., Puzzlers, Sample Problems, Problem Solving Tactics, Illustrations, Review & Summary, Questions, and Exercises & Problems.
Paul M. Kellstedt's and Guy D. Whitten's The Fundamentals of Political Science Research provides an introduction to the scientific study of politics, supplying students with the basic tools needed to be both critical consumers and producers of scholarly research in political science. The book begins with a discussion of what it means to take a scientific approach to the study of politics. At the core of such an approach is the development of causal theories. Because there is no magic formula by which theories are developed, the authors present a series of strategies and develop an integrated approach to research design and empirical analyses that allows students to determine the plausibility of their causal theories. The text's accessible presentation of mathematical concepts and regression models with two or more independent variables is a key component to this process, along with the integration of examples from political science and the real world to help students grasp the fundamental concepts.
Written for graduate students, researchers, and practitioners, this book provides a complete introduction to the science, engineering, and commercial applications of polymer-clay nanocomposites. Starting with a discussion of general concepts, the authors define specific terms used in the field, providing newcomers with a strong foundation to the area. The physical and mechanical properties of polymer-clay nanocomposites are then described, with chapters on thermodynamics and kinetics, engineering properties, barrier properties, and flame retardancy. Mechanisms underpinning observed effects, such as UV resistance, solvent resistance, and hardness, are also explained. In-depth discussions of clay and clay surface treatment, fabrication, and characterization of nanocomposites are provided, and particular emphasis is placed on the proper use and interpretation of analytical techniques, helping readers to avoid artifacts in their own work. With commercial applications discussed throughout, and experimental results connected with theory, this is an ideal reference for those working in polymer science.
One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining - the process of analyzing unstructured natural-language text - is concerned with how to extract information from these documents. Developed from the authors' highly successful Springer reference on text mining, Fundamentals of Predictive Text Mining is an introductory textbook and guide to this rapidly evolving field. Integrating topics spanning the varied disciplines of data mining, machine learning, databases, and computational linguistics, this uniquely useful book also provides practical advice for text mining. In-depth discussions are presented on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Background on data mining is beneficial, but not essential. Where advanced concepts are discussed that require mathematical maturity for a proper understanding, intuitive explanations are also provided for less advanced readers. Topics and features: presents a comprehensive, practical and easy-to-read introduction to text mining; includes chapter summaries, useful historical and bibliographic remarks, and classroom-tested exercises for each chapter; explores the application and utility of each method, as well as the optimum techniques for specific scenarios; provides several descriptive case studies that take readers from problem description to systems deployment in the real world; includes access to industrial-strength text-mining software that runs on any computer; describes methods that rely on basic statistical techniques, thus allowing for relevance to all languages (not just English); contains links to free downloadable software and other supplementary instruction material. Fundamentals of Predictive Text Mining is an essential resource for IT professionals and managers, as well as a key text for advanced undergraduate computer science students and beginning graduate students. Dr. Sholom M. Weiss is a Research Staff Member with the IBM Predictive Modeling group, in Yorktown Heights, New York, and Professor Emeritus of Computer Science at Rutgers University. Dr. Nitin Indurkhya is Professor at the School of Computer Science and Engineering, University of New South Wales, Australia, as well as founder and president of data-mining consulting company Data-Miner Pty Ltd. Dr. Tong Zhang is Associate Professor at the Department of Statistics and Biostatistics at Rutgers University, New Jersey.
This practical resource for managers explains how to keep projects and initiatives on track and get them completed on time and under budget. Consultant and trainer Lewis (The Lewis Institute) covers each step of the process, from developing goals and objectives through producing a workable schedule, managing the project team, and conducting periodic reviews. The third edition features new information on risk management and a discussion of the hazards of estimating time, costs, and resources. Annotation ©2007 Book News, Inc. , Portland, OR (booknews. com)
Waiting in lines is a staple of everyday human life. Without really noticing, we are doing it when we go to buy a ticket at a movie theater, stop at a bank to make an account withdrawal, or proceed to checkout a purchase from one of our favorite department stores. Oftentimes, waiting lines are due to overcrowded, overfilling, or congestion; any time there is more customer demand for a service than can be provided, a waiting line forms. Queuing systems is a term used to describe the methods and techniques most ideal for measuring the probability and statistics of a wide variety of waiting line models. This book provides an introduction to basic queuing systems, such as M/M/1 and its variants, as well as newer concepts like systems with priorities, networks of queues, and general service policies. Numerical examples are presented to guide readers into thinking about practical real-world applications, and students and researchers will be able to apply the methods learned to designing queuing systems that extend beyond the classroom. Very little has been published in the area of queuing systems, and this volume will appeal to graduate-level students, researchers, and practitioners in the areas of management science, applied mathematics, engineering, computer science, and statistics.
This book provides an overview of key topics related to space business and management. Case studies and an integrative section are included to illustrate the fundamental concepts and to build intuition. Key topics in the field, such as risk management and cost management, are covered in detail.
- Embossed Braille - Use Bookshare’s DAISY Text or BRF formats to generate embossed braille.