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Saturday, May 9, 2015

Download computer science ebooks EBooks | Read online computer science ebooks EBooks

Download computer science ebooks EBooks | Read online computer science ebooks EBooks

Computer Science Programming Basics in Ruby,
If you know basic high-school math, you can quickly learn and apply the core concepts of computer science with this concise, hands-on book. Led by a team of experts, you’ll quickly understand the difference between computer science and computer programming, and you’ll learn how algorithms help you solve computing problems. Each chapter builds on material introduced earlier in the book, so you can master one core building block before moving on to the next. You’ll explore fundamental topics such as loops, arrays, objects, and classes, using the easy-to-learn Ruby programming language. Then you’ll put everything together in the last chapter by programming a simple game of tic-tac-toe. Learn how to write algorithms to solve real-world problems Understand the basics of computer architecture Examine the basic tools of a programming language Explore sequential, conditional, and loop programming structures Understand how the array data structure organizes storage Use searching techniques and comparison-based sorting algorithms Learn about objects, including how to build your own Discover how objects can be created from other objects Manipulate files and use their data in your software
by Ophir Frieder
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Computer Science Illuminated,
This guide offers students an overview of computer science principles, and provides a solid foundation for those continuing their study in this dynamic and exciting discipline. New features of this edition include: a chapter on computer security providing readers with the latest information on preventing unauthorized access; types of malware and anti-virus software; protecting online information, including data collection issues with Facebook, Google, etc.; security issues with mobile and portable devices; a new section on cloud computing offering readers an overview of the latest way in which businesses and users interact with computers and mobile devices; a rewritten section on social networks including new data on Google+ and Facebook; updates to include HTML5; revised and updated Did You Know callouts are included in the chapter margins; revisions of recommendations by the ACM dealing with computer ethic issues. --
by Nell B. Dale
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Mathematical Foundation of Computer Science,

by Dr. J. Rajendra Prasad
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Theory of Computer Science,Automata, Languages and Computation
This Third Edition, in response to the enthusiastic reception given by academia and students to the previous edition, offers a cohesive presentation of all aspects of theoretical computer science, namely automata, formal languages, computability, and complexity. Besides, it includes coverage of mathematical preliminaries. NEW TO THIS EDITION • Expanded sections on pigeonhole principle and the principle of induction (both in Chapter 2) • A rigorous proof of Kleene’s theorem (Chapter 5) • Major changes in the chapter on Turing machines (TMs) – A new section on high-level description of TMs – Techniques for the construction of TMs – Multitape TM and nondeterministic TM • A new chapter (Chapter 10) on decidability and recursively enumerable languages • A new chapter (Chapter 12) on complexity theory and NP-complete problems • A section on quantum computation in Chapter 12. • KEY FEATURES • Objective-type questions in each chapter—with answers provided at the end of the book. • Eighty-three additional solved examples—added as Supplementary Examples in each chapter. • Detailed solutions at the end of the book to chapter-end exercises. The book is designed to meet the needs of the undergraduate and postgraduate students of computer science and engineering as well as those of the students offering courses in computer applications.
by K. L. P. Mishra
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Practical Programming,An Introduction to Computer Science Using Python 3, Second Edition
This book is for anyone who wants to understand computer programming. You'll learn to program in a language that' s used in millions of smartphones, tablets, and PCs. You'll code along with the book, writing programs to solve real-world problems as you learn the fundamentals of programming using Python 3. You'll learn about design, algorithms, testing, and debugging, and come away with all the tools you need to produce quality code. In this second edition, we've updated almost all the material, incorporating the lessons we've learned over the past five years of teaching Python to people new to programming. You don't need any programming experience to get started. First, you'll get a detailed introduction to Python and to programming. You'll find out exactly what happens when your programs are executed. Through real-world examples, you'll learn how to work with numbers, text, big data sets, and files. Then you'll see how to create and use your own data types. The incremental examples show you the steps and missteps that happen while developing programs, so you know what to expect when you tackle a problem on your own. Inspired by "How to Design Programs" (HtDP), you'll learn a six-step recipe for designing functions, which helps you as you start to learn the concepts--and becomes an integral part of writing programs by the end. As you learn to use the fundamental programming tools in the first half of the book, you'll see how to document and organize your code so that you and other programmers can more easily read and understand it. Beyond the basics, you'll learn how to ensure that your programs are reliable, and how to work with databases, download data from the web automatically, and build user interfaces. Most importantly, you'll learn how to think like a professional programmer. You'll need to download Python 3, available from "python.org":https://python.org.With that download comes IDLE, the editor we use for writing andrunning Python programs. (If you use Linux, you may need to installPython 3 and IDLE separately.)
by Paul Gries
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Fundamentals of Discrete Math for Computer Science,A Problem-Solving Primer
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.
by Tom Jenkyns
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This textbook, presented in a clear and friendly writing style, provides students of Class XI with a thorough introduction to the discipline of computer science. It offers accurate and balanced coverage of all the computer science topics as prescribed in the CBSE syllabus Code 083. Assuming no previous knowledge of computer science, this book discusses key computing concepts to provide invaluable insight into how computers work. It prepares students for the world of computing by giving them a solid foundation in programming concepts, operating systems, problem solving methodology, C++ programming language, data representation, and computer hardware. KEY FEATURES • Explains theory in user friendly and easy-to-approach style • Teaches C++ from scratch; knowledge of C is not needed • Provides Programming Examples • Gives Practical Exercise • Provides Answers to Short Questions • Gives Practice Questions at the end of each chapter • Suitable for Self-Study
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Comprehensive Mathematics for Computer Scientists 2,
The two-volume textbook Comprehensive Mathematics for the Working Computer Scientist, of which this is the second volume, is a self-contained comprehensive presentation of mathematics including sets, numbers, graphs, algebra, logic, grammars, machines, linear geometry, calculus, ODEs, and special themes such as neural networks, Fourier theory, wavelets, numerical issues, statistics, categories, and manifolds. The concept framework is streamlined but defining and proving virtually everything. The style implicitly follows the spirit of recent topos-oriented theoretical computer science. Despite the theoretical soundness, the material stresses a large number of core computer science subjects, such as, for example, a discussion of floating point arithmetic, Backus-Naur normal forms, L-systems, Chomsky hierarchies, algorithms for data encoding, e.g., the Reed-Solomon code. The numerous course examples are motivated by computer science and bear a generic scientific meaning. This text is complemented by an online university course which covers the same theoretical content, albeit in a totally different presentation. The student or working scientist who gets involved in this text may at any time consult the online interface which comprises applets and other interactive tools.
by Guerino Mazzola
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Concrete mathematics : [a foundation for computer science ; dedicated to Leonhard Euler (1707 - 1783)],

by Ronald L. Graham
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Logic for Computer Scientists,
This book introduces the notions and methods of formal logic from a computer science standpoint, covering propositional logic, predicate logic, and foundations of logic programming. It presents applications and themes of computer science research such as resolution, automated deduction, and logic programming in a rigorous but readable way. The style and scope of the work, rounded out by the inclusion of exercises, make this an excellent textbook for an advanced undergraduate course in logic for computer scientists. This is a short introductory book on the topic of propositional and first-order logic, with a bias towards computer scientists.... Schöning decides to concentrate on computational issues, and gives us a short book (less than 170 pages) with a tight storyline.... I found this a nicely written book with many examples and exercises (126 of them). The presentation is natural and easy to follow.... This book seems suitable for a short course, a seminar series, or part of a larger course on Prolog and logic programming, probably at the advanced undergraduate level. — SIGACT News Contains examples and 126 interesting exercises which put the student in an active reading mode.... Would provide a good university short course introducing computer science students to theorem proving and logic programming. — Mathematical Reviews This book concentrates on those aspects of mathematical logic which have strong connections with different topics in computer science, especially automated deduction, logic programming, program verification and semantics of programming languages.... The numerous exercises and illustrative examples contribute a great extent to a better understanding of different concepts and results. The book can be successfully used as a handbook for an introductory course in artificial intelligence. — Zentralblatt MATH
by Uwe Schöning
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Mathematics of Discrete Structures for Computer Science,
Mathematics plays a key role in computer science, some researchers would consider computers as nothing but the physical embodiment of mathematical systems. And whether you are designing a digital circuit, a computer program or a new programming language, you need mathematics to be able to reason about the design -- its correctness, robustness and dependability. This book covers the foundational mathematics necessary for courses in computer science. The common approach to presenting mathematical concepts and operators is to define them in terms of properties they satisfy, and then based on these definitions develop ways of computing the result of applying the operators and prove them correct. This book is mainly written for computer science students, so here the author takes a different approach: he starts by defining ways of calculating the results of applying the operators and then proves that they satisfy various properties. After justifying his underlying approach the author offers detailed chapters covering propositional logic, predicate calculus, sets, relations, discrete structures, structured types, numbers, and reasoning about programs. The book contains chapter and section summaries, detailed proofs and many end-of-section exercises -- key to the learning process. The book is suitable for undergraduate and graduate students, and although the treatment focuses on areas with frequent applications in computer science, the book is also suitable for students of mathematics and engineering.
by Gordon J. Pace
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Computer Science in Sport,Research and Practice
Computers are a fundamentally important tool in sport science research, sports performance analysis and, increasingly, in coaching and education programmes in sport. This book defines the field of ‘sport informatics’, explaining how computer science can be used to solve sport-related problems, in both research and applied aspects. Beginning with a clear explanation of the functional principles of hardware and software, the book examines the key functional areas in which computer science is employed in sport, including: knowledge discovery and database development data acquisition, including devices for measuring performance data motion tracking and analysis systems modelling and simulation match analysis systems e-learning and multimedia in sports education Bridging the gap between theory and practice, this book is important reading for any student, researcher or practitioner working in sport science, sport performance analysis, research methods in sport, applied computer science or informatics.
by Arnold Baca
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Learn Computer Science,by Knowledge flow
★★★★★LEARNING STARTS WITH VIEWING THE WORLD DIFFERENTLY.★★★★★ Knowledge flow- A mobile learning platform provides apps, eBooks and video tutorials. Knowledge flow brings you a learning eBook of Learn Computer Science. This eBook is for all information technology, computer science and engineering students and professionals across the world. This eBook provides Learn Computer Science references. 1. Introduction 2. Computer Hardware 3. Computer Software 4. Operating system 5. Data Processing 6. Networking 7. Database 8. Memory Management 9. Programming Basics 10. Computer Security and Virus 11. Compilers 12. More eBooks and Apps 13. Our eBooks on IT and Computer Science
by Knowledge flow
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Computer Science Project Work,Principles and Pragmatics
Computer Science Project Work: Principles and Pragmatics is essential reading for lecturers and course designers who want to improve their handling of project work on specific courses, and deans and department heads who are interested in strategic issues and comparative practices. It explores working practices within the curriculum and provides a resource of guidelines and practical advice, including tried and tested "good ideas" and case studies of innovative practices. It looks at different approaches to key aspects of project work such as: - Allocation - Supervision - Assessment Integration with the curriculum and allows readers to "mix and match" approaches to create a system which suits their individual needs. "Computer Science Project Work: Principles and Pragmatics is passionate, well-researched, and well-written...I wish I had this book from the beginning of my teaching career, and you will too." Susan Fowler, Professor of Technical Communication and Usability, Polytechnic University, Brooklyn, New York "Sally Fincher and her colleagues have assembled a cornucopia of practical advice and case studies, solidly referenced. This is the source book on using projects in computer science education." David Baume, Director of Teaching Development, Centre for Higher Education Practice, The Open University, UK "...very well-researched, it covers all the aspects, from the allocation of projects and teams, to managing the project process, assessing projects, and so on.....It will prove invaluable to all lecturers involved in teaching computing...." Professor Mike Holcombe, University of Sheffield, UK
by Sally Fincher
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Reaction-Diffusion Computers,
The book introduces a hot topic of novel and emerging computing paradigms and architectures -computation by travelling waves in reaction-diffusion media. A reaction-diffusion computer is a massively parallel computing device, where the micro-volumes of the chemical medium act as elementary few-bit processors, and chemical species diffuse and react in parallel. In the reaction-diffusion computer both the data and the results of the computation are encoded as concentration profiles of the reagents, or local disturbances of concentrations, whilst the computation per se is performed via the spreading and interaction of waves caused by the local disturbances. The monograph brings together results of a decade-long study into designing experimental and simulated prototypes of reaction-diffusion computing devices for image processing, path planning, robot navigation, computational geometry, logics and artificial intelligence. The book is unique because it gives a comprehensive presentation of the theoretical and experimental foundations, and cutting-edge computation techniques, chemical laboratory experimental setups and hardware implementation technology employed in the development of novel nature-inspired computing devices. Key Features: - Non-classical and fresh approach to theory of computation. - In depth exploration of novel and emerging paradigms of nature-inspired computing. - Simple to understand cellular-automata models will help readers/students to design their own computational experiments to advance ideas and concepts described in the book . - Detailed description of receipts and experimental setups of chemical laboratory reaction-diffusion processors will make the book an invaluable resource in practical studies of non-classical and nature-inspired computing architectures . - Step by step explanations of VLSI reaction-diffusion circuits will help students to design their own types of wave-based processors. Key Features: - Non-classical and fresh approach to theory of computation. - In depth exploration of novel and emerging paradigms of nature-inspired computing. - Simple to understand cellular-automata models will help readers/students to design their own computational experiments to advance ideas and concepts described in the book . - Detailed description of receipts and experimental setups of chemical laboratory reaction-diffusion processors will make the book an invaluable resource in practical studies of non-classical and nature-inspired computing architectures . - Step by step explanations of VLSI reaction-diffusion circuits will help students to design their own types of wave-based processors.
by Andrew Adamatzky
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