Fundamental Concepts In Computer Science

Author : Erol Gelenbe
Publisher : Imperial College Press
ISBN 13 : 184816291X
Total Pages : 172 pages
Book Rating : 4.14/5 ( download)

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Download or read book Fundamental Concepts in Computer Science written by Erol Gelenbe and published by Imperial College Press. This book was released on 2009 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents fundamental contributions to computer science as written and recounted by those who made the contributions themselves. As such, it is a highly original approach to a OC living historyOCO of the field of computer science. The scope of the book is broad in that it covers all aspects of computer science, going from the theory of computation, the theory of programming, and the theory of computer system performance, all the way to computer hardware and to major numerical applications of computers.

Author : Ophir Frieder
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1449356850
Total Pages : 176 pages
Book Rating : 4.59/5 ( download)

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Download or read book Computer Science Programming Basics in Ruby written by Ophir Frieder and published by "O'Reilly Media, Inc.". This book was released on 2013-04-18 with total page 176 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : William Allan Wulf
Publisher : Addison Wesley Publishing Company
ISBN 13 :
Total Pages : 648 pages
Book Rating : 4.94/5 ( download)

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Download or read book Fundamental Structures of Computer Science written by William Allan Wulf and published by Addison Wesley Publishing Company. This book was released on 1981 with total page 648 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Prabhu TL
Publisher : NestFame Creations Pvt Ltd.
ISBN 13 :
Total Pages : 521 pages
Book Rating : 4./5 ( download)

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Download or read book BASIC COMPUTER SCIENCE written by Prabhu TL and published by NestFame Creations Pvt Ltd.. This book was released on with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science is one of the disciplines of modern science under which, we study about the various aspects of computer technologies, their development, and their applications in the present world. Likewise, Computer Science includes a wide range of topics such as the development of Computer Technology (hardware and software), application of Computer technology in today’s life, information technology, computer threat, computer security, etc. However, we have segregated this tutorial into different chapters for easy understanding. Computer Science is the study of computers and computational systems. Unlike electrical and computer engineers, computer scientists deal mostly with software and software systems; this includes their theory, design, development, and application. Principal areas of study within Computer Science include artificial intelligence, computer systems and networks, security, database systems, human computer interaction, vision and graphics, numerical analysis, programming languages, software engineering, bioinformatics and theory of computing. Although knowing how to program is essential to the study of computer science, it is only one element of the field. Computer scientists design and analyze algorithms to solve programs and study the performance of computer hardware and software. The problems that computer scientists encounter range from the abstract-- determining what problems can be solved with computers and the complexity of the algorithms that solve them – to the tangible – designing applications that perform well on handheld devices, that are easy to use, and that uphold security measures. It’s a good idea to start with the basics of how computers and networks work, then find areas of study you may be further interested in. It is also recommended for anyone interested in coding to get a handle on the basics of computer science before diving into coding. If you’re thinking of entering into the computer science field, good choice! Check out why computer science jobs matter, and read on for more computer science basics.

Author : Paul D. Crutcher
Publisher : Apress
ISBN 13 : 9781484271063
Total Pages : 290 pages
Book Rating : 4.68/5 ( download)

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Download or read book Essential Computer Science written by Paul D. Crutcher and published by Apress. This book was released on 2021-06-26 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understand essential computer science concepts and skills. This book focuses on the foundational and fundamental concepts upon which expertise in specific areas can be developed, including computer architecture, programming language, algorithm and data structure, operating systems, computer networks, distributed systems, security, and more. According to code.org, there are 500,000 open programming positions available in the US— compared to an annual crop of just 50,000 graduating computer science majors. The US Department of Labor predicted that there will be almost a million and a half computer science jobs in the very near future, but only enough programmers to fill roughly one third of these jobs. To bridge the gap, many people not formally trained in computer science are employed in programming jobs. Although they are able to start programming and coding quickly, it often takes them time to acquire the necessary understanding to gain the requisite skills to become an efficient computer engineer or advanced developer. What You Will Learn The fundamentals of how a computer works The basics of computer programming and programming paradigms How to write efficient programs How the hardware and software work together to provide a good user experience and enhance the usability of the system How computers can talk to each other How to ensure the security of the system The fundamentals of cloud offerings, implications/trade-offs, and deployment/adoption configurations The fundamentals of machine learning Who This Book Is For Computer programmers lacking a formal education in computer science, and anyone with a formal education in computer science, looking to develop a general understanding of computer science fundamentals

Author : John C. Mitchell
Publisher : Cambridge University Press
ISBN 13 : 9780521780988
Total Pages : 546 pages
Book Rating : 4.85/5 ( download)

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Download or read book Concepts in Programming Languages written by John C. Mitchell and published by Cambridge University Press. This book was released on 2003 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive undergraduate textbook covering both theory and practical design issues, with an emphasis on object-oriented languages.

Author : Benjamin C. Pierce
Publisher : MIT Press
ISBN 13 : 0262326450
Total Pages : 117 pages
Book Rating : 4.52/5 ( download)

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Download or read book Basic Category Theory for Computer Scientists written by Benjamin C. Pierce and published by MIT Press. This book was released on 1991-08-07 with total page 117 pages. Available in PDF, EPUB and Kindle. Book excerpt: Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Category theory is a branch of pure mathematics that is becoming an increasingly important tool in theoretical computer science, especially in programming language semantics, domain theory, and concurrency, where it is already a standard language of discourse. Assuming a minimum of mathematical preparation, Basic Category Theory for Computer Scientists provides a straightforward presentation of the basic constructions and terminology of category theory, including limits, functors, natural transformations, adjoints, and cartesian closed categories. Four case studies illustrate applications of category theory to programming language design, semantics, and the solution of recursive domain equations. A brief literature survey offers suggestions for further study in more advanced texts. Contents Tutorial • Applications • Further Reading

Author : Jessen Havill
Publisher : CRC Press
ISBN 13 : 1000218481
Total Pages : 522 pages
Book Rating : 4.80/5 ( download)

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Download or read book Discovering Computer Science written by Jessen Havill and published by CRC Press. This book was released on 2020-10-12 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Havill's problem-driven approach introduces algorithmic concepts in context and motivates students with a wide range of interests and backgrounds." -- Janet Davis, Associate Professor and Microsoft Chair of Computer Science, Whitman College "This book looks really great and takes exactly the approach I think should be used for a CS 1 course. I think it really fills a need in the textbook landscape." -- Marie desJardins, Dean of the College of Organizational, Computational, and Information Sciences, Simmons University "Discovering Computer Science is a refreshing departure from introductory programming texts, offering students a much more sincere introduction to the breadth and complexity of this ever-growing field." -- James Deverick, Senior Lecturer, The College of William and Mary "This unique introduction to the science of computing guides students through broad and universal approaches to problem solving in a variety of contexts and their ultimate implementation as computer programs." -- Daniel Kaplan, DeWitt Wallace Professor, Macalester College Discovering Computer Science: Interdisciplinary Problems, Principles, and Python Programming is a problem-oriented introduction to computational problem solving and programming in Python, appropriate for a first course for computer science majors, a more targeted disciplinary computing course or, at a slower pace, any introductory computer science course for a general audience. Realizing that an organization around language features only resonates with a narrow audience, this textbook instead connects programming to students’ prior interests using a range of authentic problems from the natural and social sciences and the digital humanities. The presentation begins with an introduction to the problem-solving process, contextualizing programming as an essential component. Then, as the book progresses, each chapter guides students through solutions to increasingly complex problems, using a spiral approach to introduce Python language features. The text also places programming in the context of fundamental computer science principles, such as abstraction, efficiency, testing, and algorithmic techniques, offering glimpses of topics that are traditionally put off until later courses. This book contains 30 well-developed independent projects that encourage students to explore questions across disciplinary boundaries, over 750 homework exercises, and 300 integrated reflection questions engage students in problem solving and active reading. The accompanying website — https://www.discoveringcs.net — includes more advanced content, solutions to selected exercises, sample code and data files, and pointers for further exploration.

Author : Göktürk Üçoluk
Publisher : Springer Science & Business Media
ISBN 13 : 3709113431
Total Pages : 227 pages
Book Rating : 4.31/5 ( download)

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Download or read book Introduction to Programming Concepts with Case Studies in Python written by Göktürk Üçoluk and published by Springer Science & Business Media. This book was released on 2012-10-29 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: The current text provides a clear introduction to Computer Science concepts in a programming environment. It is designed as suitable use in freshman- or introductory level coursework in CS and provides the fundamental concepts as well as abstract theorems for solving computational problems. The Python language serves as a medium for illustrating and demonstrating the concepts.

Author : Mohammed J. Zaki
Publisher : Cambridge University Press
ISBN 13 : 1108658695
Total Pages : 780 pages
Book Rating : 4.90/5 ( download)

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Download or read book Data Mining and Machine Learning written by Mohammed J. Zaki and published by Cambridge University Press. This book was released on 2020-01-30 with total page 780 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fundamental algorithms in data mining and machine learning form the basis of data science, utilizing automated methods to analyze patterns and models for all kinds of data in applications ranging from scientific discovery to business analytics. This textbook for senior undergraduate and graduate courses provides a comprehensive, in-depth overview of data mining, machine learning and statistics, offering solid guidance for students, researchers, and practitioners. The book lays the foundations of data analysis, pattern mining, clustering, classification and regression, with a focus on the algorithms and the underlying algebraic, geometric, and probabilistic concepts. New to this second edition is an entire part devoted to regression methods, including neural networks and deep learning.