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Introduction to AutoCAD 2010
by Alf YarwoodAlf Yarwood provides a practical, structured course of work matched to the latest release of AutoCAD. After introducing first principles and the creation of 2D technical drawings, he goes on to demonstrate the construction of 3D solid drawings, surface model drawings and rendering. All the new features of the 2010 software release are taken into account and the increasing emphasis on 3D solid modelling in the software is reflected in the book. The 2D chapters are also suitable for those learning how to use AutoCAD LT 2010.Suitable for all new users of AutoCAD, this book is particularly applicable to vocational and introductory level undergraduate courses in engineering and construction. Further Education students in the UK will find this an ideal textbook to cater for the City & Guilds 4353 and 2303 qualifications and the relevant CAD units of BTEC National and BTEC Higher National Engineering and Construction schemes from Edexcel. Many Foundation Degrees also contain CAD modules for which this book can be of use.Readers will also be able to visit a free companion website at http://books.elsevier.com/companions/9781856178686, where they will find worked solutions and AutoCAD drawing files of stages and results for the exercises in the book, as well as further exercises and multiple-choice questions with answers.
Introduction to AutoCAD 2012
by Alf YarwoodMaster the complexities of the world’s bestselling 2D and 3D software with Alf Yarwood’s new Introduction to AutoCAD 2012. Ideally suited to new users of AutoCAD, this book will be a useful resource for drawing modules in both vocational and introductory undergraduate courses in engineering and construction.Alf Yarwood has once again produced a comprehensive, step-by-step introduction to the latest release of AutoCAD. Covering all the basic principles and acting as an introduction to 2D drawing, it also contains extensive coverage of all 3D topics, including 3D solid modelling and rendering.A fold-out list of frequently used keyboard shortcuts will help you perform actions quickly while working through the book, and an appendix of ribbon references clearly describes all the software tools that are used throughout the book.Further education students in the UK will find this an invaluable textbook for City and Guilds AutoCAD qualifications as well as the relevant Computer Aided Drawing units of BTEC National Engineering, Higher National Engineering and Construction courses from Edexcel. Students enrolled in Foundation Degree courses containing CAD modules will also find this a very useful reference and learning aid.Readers will also be able to visit a free companion website at:www.introtoautocad2012.com where they will find worked solutions and AutoCAD drawing files of stages, and results for the exercises in this book, as well as further exercises and multiple-choice questions with answers.
Introduction to AutoCAD 2017: 2D and 3D Design
by Alf Yarwood Bernd S. PalmMaster the complexities of the world's bestselling 2D and 3D software with Introduction to AutoCAD 2017. Ideally suited to new users of AutoCAD, this book will be a useful resource for drawing modules in both vocational and introductory undergraduate courses in engineering and construction. A comprehensive, step-by-step introduction to the latest release of AutoCAD. Covering all the basic principles and acting as an introduction to 2D drawing, it also contains extensive coverage of all 3D topics, including 3D solid modelling and rendering. Written by a member of the Autodesk Developer Network. Hundreds of colour pictures, screenshots and diagrams illustrate every stage of the design process. Worked examples and exercises provide plenty of practice material to build proficiency with the software. Further education students will find this an invaluable textbook for City & Guilds AutoCAD qualifications as well as the relevant Computer Aided Drawing units of BTEC National Engineering, Higher National Engineering and Construction courses from Edexcel. Students enrolled in Foundation Degree courses containing CAD modules will also find this a very useful reference and learning aid.
Introduction to AutoCAD 2020: 2D and 3D Design
by Bernd S. PalmMaster the complexities of the world's bestselling 2D and 3D software with Introduction to AutoCAD 2020. Ideally suited to new users, and relevant for both AutoCAD 2020 and AutoCAD 2021, this book will be a useful resource for drawing modules in both vocational and introductory undergraduate courses in engineering and construction. Experienced users will also find the updated images, commands and software information to be essential reading in order to adapt to the latest AutoCAD interface. A comprehensive, step-by-step introduction to the latest release of AutoCAD. Covering all the basic principles and acting as an introduction to 2D drawing, it also contains extensive coverage of all 3D topics, including 3D solid modelling and rendering. Written by a member of the Autodesk Developer Network. Hundreds of colour pictures, screenshots and diagrams illustrate every stage of the design process. Worked examples and exercises provide plenty of practice material to build proficiency with the software. Further education students will find this an invaluable textbook for City & Guilds AutoCAD qualifications as well as the relevant Computer Aided Drawing units of BTEC National Engineering, Higher National Engineering and Construction courses from Edexcel. Students enrolled in Foundation Degree courses containing CAD modules will also find this a very useful reference and learning aid.
Introduction to Autonomous Manipulation
by Giacomo Marani Junku Yuh"Autonomous manipulation" is a challenge in robotic technologies. It refers to the capability of a mobile robot system with one or more manipulators that performs intervention tasks requiring physical contacts in unstructured environments and without continuous human supervision. Achieving autonomous manipulation capability is a quantum leap in robotic technologies as it is currently beyond the state of the art in robotics. This book addresses issues with the complexity of the problems encountered in autonomous manipulation including representation and modeling of robotic structures, kinematic and dynamic robotic control, kinematic and algorithmic singularity avoidance, dynamic task priority, workspace optimization and environment perception. Further development in autonomous manipulation should be able to provide robust improvements of the solutions for all of the above issues. The book provides an extensive tract on sensory-based autonomous manipulation for intervention tasks in unstructured environments. After presenting the theoretical foundations for kinematic and dynamic modelling as well as task-priority based kinematic control of multi-body systems, the work is focused on one of the most advanced underwater vehicle-manipulator system, SAUVIM (Semi-Autonomous Underwater Vehicle for Intervention Missions). Solutions to the problem of target identification and localization are proposed, a number of significant case studies are discussed and practical examples an d experimental/simulation results are presented. The book may inspire the robot research community to further investigate critical issues in autonomous manipulation and to develop robot systems that can profoundly impact our society for the better.
Introduction to Autonomous Mobile Robots, second edition (Intelligent Robotics and Autonomous Agents series)
by Roland Siegwart Illah Reza Nourbakhsh Davide ScaramuzzaThe second edition of a comprehensive introduction to all aspects of mobile robotics, from algorithms to mechanisms.Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mechanical, motor, sensory, perceptual, and cognitive layers the field comprises. The text focuses on mobility itself, offering an overview of the mechanisms that allow a mobile robot to move through a real world environment to perform its tasks, including locomotion, sensing, localization, and motion planning. It synthesizes material from such fields as kinematics, control theory, signal analysis, computer vision, information theory, artificial intelligence, and probability theory. The book presents the techniques and technology that enable mobility in a series of interacting modules. Each chapter treats a different aspect of mobility, as the book moves from low-level to high-level details. It covers all aspects of mobile robotics, including software and hardware design considerations, related technologies, and algorithmic techniques.This second edition has been revised and updated throughout, with 130 pages of new material on such topics as locomotion, perception, localization, and planning and navigation. Problem sets have been added at the end of each chapter. Bringing together all aspects of mobile robotics into one volume, Introduction to Autonomous Mobile Robots can serve as a textbook or a working tool for beginning practitioners.Curriculum developed by Dr. Robert King, Colorado School of Mines, and Dr. James Conrad, University of North Carolina-Charlotte, to accompany the National Instruments LabVIEW Robotics Starter Kit, are available. Included are 13 (6 by Dr. King and 7 by Dr. Conrad) laboratory exercises for using the LabVIEW Robotics Starter Kit to teach mobile robotics concepts.
Introduction to Autonomous Robots: Mechanisms, Sensors, Actuators, and Algorithms
by Nikolaus Correll Bradley Hayes Christoffer Heckman Alessandro RonconeA comprehensive introduction to the field of autonomous robotics aimed at upper-level undergraduates and offering additional online resources.Textbooks that provide a broad algorithmic perspective on the mechanics and dynamics of robots almost unfailingly serve students at the graduate level. Introduction to Autonomous Robots offers a much-needed resource for teaching third- and fourth-year undergraduates the computational fundamentals behind the design and control of autonomous robots. The authors use a class-tested and accessible approach to present progressive, step-by-step development concepts, alongside a wide range of real-world examples and fundamental concepts in mechanisms, sensing and actuation, computation, and uncertainty. Throughout, the authors balance the impact of hardware (mechanism, sensor, actuator) and software (algorithms) in teaching robot autonomy. Features:Rigorous and tested in the classroomWritten for engineering and computer science undergraduates with a sophomore-level understanding of linear algebra, probability theory, trigonometry, and statisticsQR codes in the text guide readers to online lecture videos and animationsTopics include: basic concepts in robotic mechanisms like locomotion and grasping, plus the resulting forces; operation principles of sensors and actuators; basic algorithms for vision and feature detection; an introduction to artificial neural networks, including convolutional and recurrent variantsExtensive appendices focus on project-based curricula, pertinent areas of mathematics, backpropagation, writing a research paper, and other topicsA growing library of exercises in an open-source, platform-independent simulation (Webots)
Introduction to bada: A Developer's Guide, 1st Edition
by Cheng Luo Lansdell Michelle Somerville Manfred Bortenschlager Ben MorrisAn expert introduction to Samsung's new mobile platform Bada is a new platform that runs on mass market phones and enables you to build cutting-edge applications for mobile devices. As an access layer, bada has all the advantages of native coding and provides the power of multi-tasking and multi-threading. This book serves as a complete introduction to the exciting capabilities of bada and shows you how bada offers commerce and business services with server-side support. The authors walk you through the complete set of platform APIs and detail the architecture of bada. Code fragments are featured throughout the book as well as examples that utilize all of the major APIs, from sensors to maps and from phonebook to billing. Introduces Samsung's new platform, bada Explains the bada framework, its APIs, and the bada architecture Walks you through how bada is a logically structured mobile platform that allows you to build exciting apps for mobile devices Features code fragments and numerous examples that address all the major APIs Discover how bada boasts the richest set of end-to-end service, commerce, and billing APIs with this book! Ben Morris is a freelance author and developer, specializing in mobile software including Symbian OS and mobile widgets.
An Introduction to Bayesian Inference, Methods and Computation
by Nick HeardThese lecture notes provide a rapid, accessible introduction to Bayesian statistical methods. The course covers the fundamental philosophy and principles of Bayesian inference, including the reasoning behind the prior/likelihood model construction synonymous with Bayesian methods, through to advanced topics such as nonparametrics, Gaussian processes and latent factor models. These advanced modelling techniques can easily be applied using computer code samples written in Python and Stan which are integrated into the main text. Importantly, the reader will learn methods for assessing model fit, and to choose between rival modelling approaches.
Introduction to Bayesian Tracking and Particle Filters (Studies in Big Data #126)
by Lawrence D. Stone Roy L. Streit Stephen L. AndersonThis book provides a quick but insightful introduction to Bayesian tracking and particle filtering for a person who has some background in probability and statistics and wishes to learn the basics of single-target tracking. It also introduces the reader to multiple target tracking by presenting useful approximate methods that are easy to implement compared to full-blown multiple target trackers.The book presents the basic concepts of Bayesian inference and demonstrates the power of the Bayesian method through numerous applications of particle filters to tracking and smoothing problems. It emphasizes target motion models that incorporate knowledge about the target’s behavior in a natural fashion rather than assumptions made for mathematical convenience.The background provided by this book allows a person to quickly become a productive member of a project team using Bayesian filtering and to develop new methods and techniques for problems the team may face.
Introduction to Bio-Ontologies (Chapman & Hall/CRC Computational Biology Series)
by null Peter N. Robinson null Sebastian BauerIntroduction to Bio-Ontologies explores the computational background of ontologies. Emphasizing computational and algorithmic issues surrounding bio-ontologies, this self-contained text helps readers understand ontological algorithms and their applications.The first part of the book defines ontology and bio-ontologies. It also explains the importan
An Introduction to Bioinformatics Algorithms (Computational Molecular Biology)
by Neil C. Jones Pavel A. PevznerAn introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics.This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems. The book introduces biological and algorithmic ideas together, linking issues in computer science to biology and thus capturing the interest of students in both subjects. It demonstrates that relatively few design techniques can be used to solve a large number of practical problems in biology, and presents this material intuitively. An Introduction to Bioinformatics Algorithms is one of the first books on bioinformatics that can be used by students at an undergraduate level. It includes a dual table of contents, organized by algorithmic idea and biological idea; discussions of biologically relevant problems, including a detailed problem formulation and one or more solutions for each; and brief biographical sketches of leading figures in the field. These interesting vignettes offer students a glimpse of the inspirations and motivations for real work in bioinformatics, making the concepts presented in the text more concrete and the techniques more approachable.PowerPoint presentations, practical bioinformatics problems, sample code, diagrams, demonstrations, and other materials can be found at the Author's website.
Introduction to Bioinformatics and Clinical Scientific Computing
by Paul S. GanneyThis textbook provides an introduction to computer science theory, informatics best practice, and the standards and legislation that apply to computing in a healthcare environment. It delivers an accessible discussion of databases (construction, interrogation and maintenance); networking (design and low-level application); programming (best practice rather than the specifics of any one language – design, maintenance, safety). It can be used to accompany the NHS Modernising Scientific Careers syllabus. It is also targeted towards those creating software rather than those using it, particularly computer scientists working in healthcare, specifically those in or close to the Physical Sciences, including radiotherapy, nuclear medicine, and equipment management and those working with genomics and health informatics.
Introduction to Biological Networks
by Alpan Raval Animesh RayThe new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking. Filling this gap, Introduction to Biological Networks provides a thorough introduction to genomics-inspired network bi
Introduction to Biometrics (Texts in Computer Science)
by Anil K. Jain Arun A. Ross Karthik Nandakumar Thomas SwearingenThis textbook introduces the fundamental concepts and techniques used in biometric recognition to students, practitioners, and non-experts in the field. Specifically, the book describes key methodologies used for sensing, feature extraction, and matching of commonly used biometric modalities such as fingerprint, face, iris, and voice. In addition, it presents techniques for fusion of biometric information to meet stringent accuracy requirements, also discussing various security issues and associated remedies involved in the deployment of biometric systems. Furthermore, this second edition captures the progress made in the field of biometric recognition, with highlights including: Lucid explanation of core biometric concepts (e.g., individuality and persistence), which builds a strong foundation for more in-depth study and research on biometrics A new chapter on deep neural networks that provides a primer to recent advancements in machine learning and computer vision Illustrative examples of how deep neural network models have contributed to the rapid evolution of biometrics in areas such as robust feature representation and synthetic biometric data generation A new chapter on speaker recognition, which introduces the readers to person recognition based on the human voice characteristics Presentation of emerging security threats such as deepfakes and adversarial attacks and sophisticated countermeasures such as presentation attack detection and template security While this textbook has been designed for senior undergraduate students and first-year graduate students studying a course on biometrics, it is also a useful reference guide for biometric system designers, developers, and integrators.
Introduction to Blender 3.0: Learn Organic and Architectural Modeling, Lighting, Materials, Painting, Rendering, and Compositing with Blender
by Gianpiero MoioliMaster the basics of 3D modeling for art, architecture, and design by exploring Blender 3.0. This book explains modeling, materials, lighting, painting, and more with Blender and other external tools.You will configure a 3D architectural environment and set up the workflow of an art and design project within Blender. You will use Blender's main tools—mesh modeling and sculpting—to create virtual objects and environments. And, you will explore building materials and light scenes, followed by drawing and virtual painting. Chapters cover rendering scenes and transforming them into 2D images or videos. You will learn to use Blender 3.0 for video editing as a compositor and video sequence editor (VSE or sequencer) with a wide range of effects available through the nodal system.On completing this book, you will have the knowledge to create art, design, and architecture with this 3D modeler.What You Will LearnCreate objects and architectural buildings with different techniques of 3D modelingMaster creating an environment for your objects and how to light themDetermine how to create node materials and assign them to your Blender objectsPick up UV unwrapping and texture paintingGet closer to painting and drawing in BlenderRender your scenes and create stunning videosWho This Book Is ForArtists, designers, architects, and animation artists who want to learn Blender by tackling the challenges of building high-end computer graphics, art, design, and architecture. Ideal for readers with little-to-no experience with Blender as it starts with the basics and covers techniques to produce objects, materials, environments.
Introduction to Blockchain and Ethereum: Use distributed ledgers to validate digital transactions in a decentralized and trustless manner
by Fatima Castiglione MaldonadoBuild distributed applications that resolve data ownership issues when working with transactions between multiple partiesKey FeaturesExplore a perfect balance between theories and hands-on activitiesDiscover popular Blockchain use cases such as BitcoinCreate your first smart contract in Solidity for EthereumBook DescriptionBlockchain applications provide a single-shared ledger to eliminate trust issues involving multiple stakeholders. With the help of Introduction to Blockchain and Ethereum, you'll learn how to create distributed Blockchain applications which do not depend on a central server or datacenter. The course begins by explaining Bitcoin, Altcoins, and Ethereum, followed by taking you through distributed programming using the Solidity language on the Ethereum Blockchain. By the end of this course, you'll be able to write, compile, and deploy your own smart contracts to the Ethereum Blockchain.What you will learnGrasp Blockchain concepts such as private and public keys, addresses, wallets, and hashesSend and analyze transactions in the Ethereum Rinkeby test networkCompile and deploy your own ERC20-compliant smart contracts and tokensTest your smart contracts using MyEtherWalletCreate a distributed web interface for your contractCombine Solidity and JavaScript to create your very own decentralized applicationWho this book is forIntroduction to Blockchain and Ethereum is ideal for you if you want to get to grips with Blockchain technology and develop your own distributed applications with smart contracts written in Solidity. Prior exposure to an object-oriented programming language such as JavaScript is needed, as you'll cover the basics before getting straight to work.
Introduction to Blockchain Technology (River Publishers Series in Rapids in Computing and Information Science and Technology)
by Ahmed BanafaThis book explores the fundamentals and applications of Blockchain technology. Readers will learn about the decentralized peer-to-peer network, distributed ledger, and the trust model that defines Blockchain technology. They will also be introduced to the basic components of Blockchain (transaction, block, block header, and the chain), its operations (hashing, verification, validation, and consensus model), underlying algorithms, and essentials of trust (hard fork and soft fork). Private and public Blockchain networks similar to Bitcoin and Ethereum will be introduced, as will concepts of Smart Contracts, Proof of Work and Proof of Stack. Blockchain is an emerging technology that can radically improve transaction security at banking, supply chain, and other transaction networks. It’s estimated that Blockchain will generate $3.1 trillion in new business value by 2030. Essentially, it provides the basis for a dynamic distributed ledger that can be applied to save time when recording transactions between parties, remove costs associated with intermediaries, and reduce risks of fraud and tampering.
Introduction to Broadband Communication Systems
by Cajetan M. Akujuobi Matthew N.O. SadikuBroadband networks, such as asynchronous transfer mode (ATM), frame relay, and leased lines, allow us to easily access multimedia services (data, voice, and video) in one package. Exploring why broadband networks are important in modern-day telecommunications, Introduction to Broadband Communication Systems covers the concepts and components of bot
Introduction to C++
by George S. TselikisThis book is primarily for students who are taking a course on the C++ language, for those who wish to self-study the C++ language, and for programmers who have experience with C and want to advance to C++. It could also prove useful to instructors of the C++ course who are looking for explanatory programming examples to add in their lectures. The focus of this book is to provide a solid introduction to the C++ language and programming knowledge through a large number of practical examples and meaningful advice. It includes more than 500 exercises and examples of progressive difficulty to aid the reader in understanding the C++ principles and to see how concepts can materialize in code. The examples are designed to be short, concrete, and substantial, quickly giving the reader the ability to understand how to apply correctly and efficiently the features of the C++ language and to get a solid programming know-how. Rest assured that if you are able to understand this book’s examples and solve the exercises, you can safely go on to edit larger programs, you will be able to develop your own applications, and you will have certainly established a solid fundamental conceptual and practical background to expand your knowledge and skills.
An Introduction to Cellular Network Analysis Using Stochastic Geometry (Synthesis Lectures on Learning, Networks, and Algorithms)
by Jeffrey G. Andrews Abhishek K. Gupta Ahmad Alammouri Harpreet S. DhillonThis book provides an accessible yet rigorous first reference for readers interested in learning how to model and analyze cellular network performance using stochastic geometry. In addition to the canonical downlink and uplink settings, analyses of heterogeneous cellular networks and dense cellular networks are also included. For each of these settings, the focus is on the calculation of coverage probability, which gives the complementary cumulative distribution function (ccdf) of signal-to-interference-and-noise ratio (SINR) and is the complement of the outage probability. Using this, other key performance metrics, such as the area spectral efficiency, are also derived. These metrics are especially useful in understanding the effect of densification on network performance. In order to make this a truly self-contained reference, all the required background material from stochastic geometry is introduced in a coherent and digestible manner.This Book:Provides an approachable introduction to the analysis of cellular networks and illuminates key system dependenciesFeatures an approach based on stochastic geometry as applied to cellular networks including both downlink and uplinkFocuses on the statistical distribution of signal-to-interference-and-noise ratio (SINR) and related metrics
Introduction to Certificateless Cryptography
by Hu Xiong Zhen Qin Athanasios V. VasilakosAs an intermediate model between conventional PKC and ID-PKC, CL-PKC can avoid the heavy overhead of certificate management in traditional PKC as well as the key escrow problem in ID-PKC altogether. Since the introduction of CL-PKC, many concrete constructions, security models, and applications have been proposed during the last decade. Differing from the other books on the market, this one provides rigorous treatment of CL-PKC.Definitions, precise assumptions, and rigorous proofs of security are provided in a manner that makes them easy to understand.
Introduction to Classifier Performance Analysis with R (Chapman & Hall/CRC Data Science Series)
by Sutaip L.C. SawClassification problems are common in business, medicine, science, engineering and other sectors of the economy. Data scientists and machine learning professionals solve these problems through the use of classifiers. Choosing one of these data driven classification algorithms for a given problem is a challenging task. An important aspect involved in this task is classifier performance analysis (CPA). Introduction to Classifier Performance Analysis with R provides an introductory account of commonly used CPA techniques for binary and multiclass problems, and use of the R software system to accomplish the analysis. Coverage draws on the extensive literature available on the subject, including descriptive and inferential approaches to CPA. Exercises are included at the end of each chapter to reinforce learning.Key Features: An introduction to binary and multiclass classification problems is provided, including some classifiers based on statistical, machine and ensemble learning. Commonly used techniques for binary and multiclass CPA are covered, some from less well-known but useful points of view. Coverage also includes important topics that have not received much attention in textbook accounts of CPA. Limitations of some commonly used performance measures are highlighted. Coverage includes performance parameters and inferential techniques for them. Also covered are techniques for comparative analysis of competing classifiers. A key contribution involves the use of key R meta-packages like tidyverse and tidymodels for CPA, particularly the very useful yardstick package. This is a useful resource for upper level undergraduate and masters level students in data science, machine learning and related disciplines. Practitioners interested in learning how to use R to evaluate classifier performance can also potentially benefit from the book. The material and references in the book can also serve the needs of researchers in CPA.
An Introduction to Clustering with R (Behaviormetrics: Quantitative Approaches to Human Behavior #1)
by Paolo Giordani Maria Brigida Ferraro Francesca MartellaThe purpose of this book is to thoroughly prepare the reader for applied research in clustering. Cluster analysis comprises a class of statistical techniques for classifying multivariate data into groups or clusters based on their similar features. Clustering is nowadays widely used in several domains of research, such as social sciences, psychology, and marketing, highlighting its multidisciplinary nature. This book provides an accessible and comprehensive introduction to clustering and offers practical guidelines for applying clustering tools by carefully chosen real-life datasets and extensive data analyses. The procedures addressed in this book include traditional hard clustering methods and up-to-date developments in soft clustering. Attention is paid to practical examples and applications through the open source statistical software R. Commented R code and output for conducting, step by step, complete cluster analyses are available. The book is intended for researchers interested in applying clustering methods. Basic notions on theoretical issues and on R are provided so that professionals as well as novices with little or no background in the subject will benefit from the book.
Introduction to Coding Theory (Discrete Mathematics and Its Applications #5)
by Jurgen BierbrauerAlthough its roots lie in information theory, the applications of coding theory now extend to statistics, cryptography, and many areas of pure mathematics, as well as pervading large parts of theoretical computer science, from universal hashing to numerical integration.Introduction to Coding Theory introduces the theory of error-correcting codes in a thorough but gentle presentation. Part I begins with basic concepts, then builds from binary linear codes and Reed-Solomon codes to universal hashing, asymptotic results, and 3-dimensional codes. Part II emphasizes cyclic codes, applications, and the geometric desciption of codes. The author takes a unique, more natural approach to cyclic codes that is not couched in ring theory but by virtue of its simplicity, leads to far-reaching generalizations. Throughout the book, his discussions are packed with applications that include, but reach well beyond, data transmission, with each one introduced as soon as the codes are developed.Although designed as an undergraduate text with myriad exercises, lists of key topics, and chapter summaries, Introduction to Coding Theory explores enough advanced topics to hold equal value as a graduate text and professional reference. Mastering the contents of this book brings a complete understanding of the theory of cyclic codes, including their various applications and the Euclidean algorithm decoding of BCH-codes, and carries readers to the level of the most recent research.