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Author: Alan W. Biermann
Publisher: MIT Press
ISBN: 9780262522236
Category : Computers
Languages : en
Pages : 576
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Book Description
In Great Ideas in Computer Science: A Gentle Introduction, Alan Biermann presents the "great ideas" of computer science that together comprise the heart of the field. He condenses a great deal of complex material into a manageable, accessible form. His treatment of programming, for example, presents only a few features of Pascal and restricts all programs to those constructions. Yet most of the important lessons in programming can be taught within these limitations. The student's knowledge of programming then provides the basis for understanding ideas in compilation, operating systems, complexity theory, noncomputability, and other topics. Whenever possible, the author uses common words instead of the specialized vocabulary that might confuse readers. Readers of the book will learn to write a variety of programs in Pascal, design switching circuits, study a variety of Von Neumann and parallel architectures, hand simulate a computer, examine the mechanisms of an operating system, classify various computations as tractable or intractable, learn about noncomputability, and explore many of the important issues in artificial intelligence. This second edition has new chapters on simulation, operating systems, and networks. In addition, the author has upgraded many of the original chapters based on student and instructor comments, with a view toward greater simplicity and readability.
Author: Alan W. Biermann
Publisher: MIT Press
ISBN: 9780262522236
Category : Computers
Languages : en
Pages : 576
Get Book Here
Book Description
In Great Ideas in Computer Science: A Gentle Introduction, Alan Biermann presents the "great ideas" of computer science that together comprise the heart of the field. He condenses a great deal of complex material into a manageable, accessible form. His treatment of programming, for example, presents only a few features of Pascal and restricts all programs to those constructions. Yet most of the important lessons in programming can be taught within these limitations. The student's knowledge of programming then provides the basis for understanding ideas in compilation, operating systems, complexity theory, noncomputability, and other topics. Whenever possible, the author uses common words instead of the specialized vocabulary that might confuse readers. Readers of the book will learn to write a variety of programs in Pascal, design switching circuits, study a variety of Von Neumann and parallel architectures, hand simulate a computer, examine the mechanisms of an operating system, classify various computations as tractable or intractable, learn about noncomputability, and explore many of the important issues in artificial intelligence. This second edition has new chapters on simulation, operating systems, and networks. In addition, the author has upgraded many of the original chapters based on student and instructor comments, with a view toward greater simplicity and readability.
Author: Alan W. Biermann
Publisher: MIT Press
ISBN: 9780262024976
Category : Computers
Languages : en
Pages : 554
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Book Description
A broad yet deep presentation of the most important concepts in computer science, using the Java programming language for exercises.
Author: Sean D. Liming
Publisher:
ISBN: 9780991188734
Category : Computers
Languages : en
Pages : 593
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Book Description
Almost every job today has some interaction with a computer or a computing device. Computers come in all shapes and sizes such as smartphones, ATM machines, thermostats, test equipment, robotics, point-of-sale systems, cloud servers, projection systems, and, oh yes, personal computers. All of them need to be designed, built, and programmed. Having a good understanding of computer programming and Computer Science can provide a good foundation for one's career. The Java programming language is one of the most popular programming languages used today. By learning Java, you will have a good understanding of structured programming, and Java is a good vehicle to learn the basics of Computer Science. Employers are always looking for new-hires to have practical experience. The best way to stand out during the interview process is to demonstrate that you have a familiarity with the tools used by professional programmers. There are many Java development tools available, but when it comes to Java programming, Eclipse is the tool frequently used in the industry. Eclipse is a popular Integrated Development Environment (IDE) that supports Java, C/C++, and web development. This textbook combines Java programming, Computer Science, and a popular development tool that not only prepares you for the Computer Science curriculum but also beyond the classroom into your professional career. The 14 chapters start with the basics of how Algebra flows into computer programming, moves on to logical program flow, and then to Object Oriented Programming. After these fundamentals come the advanced topics of recursion, search, sort, and Big-O notation. Going beyond the basic curriculum material, the later chapters cover graphical programming with JavaFX, File I/O, an introduction to data structures, and finishes with JavaFX 2-D Game development. There are many computer activities to provide a hands-on experience and keep you involved during the reading of this book.
Author: Allen B. Downey
Publisher: "O'Reilly Media, Inc."
ISBN: 1491929537
Category : Computers
Languages : en
Pages : 251
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Book Description
Currently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end. Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned. Learn one concept at a time: tackle complex topics in a series of small steps with examples Understand how to formulate problems, think creatively about solutions, and write programs clearly and accurately Determine which development techniques work best for you, and practice the important skill of debugging Learn relationships among input and output, decisions and loops, classes and methods, strings and arrays Work on exercises involving word games, graphics, puzzles, and playing cards
Author: Robert Sedgewick
Publisher: Addison-Wesley Professional
ISBN: 0134076451
Category : Computers
Languages : en
Pages : 2172
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Book Description
Named a Notable Book in the 21st Annual Best of Computing list by the ACM! Robert Sedgewick and Kevin Wayne’s Computer Science: An Interdisciplinary Approach is the ideal modern introduction to computer science with Java programming for both students and professionals. Taking a broad, applications-based approach, Sedgewick and Wayne teach through important examples from science, mathematics, engineering, finance, and commercial computing. The book demystifies computation, explains its intellectual underpinnings, and covers the essential elements of programming and computational problem solving in today’s environments. The authors begin by introducing basic programming elements such as variables, conditionals, loops, arrays, and I/O. Next, they turn to functions, introducing key modular programming concepts, including components and reuse. They present a modern introduction to object-oriented programming, covering current programming paradigms and approaches to data abstraction. Building on this foundation, Sedgewick and Wayne widen their focus to the broader discipline of computer science. They introduce classical sorting and searching algorithms, fundamental data structures and their application, and scientific techniques for assessing an implementation’s performance. Using abstract models, readers learn to answer basic questions about computation, gaining insight for practical application. Finally, the authors show how machine architecture links the theory of computing to real computers, and to the field’s history and evolution. For each concept, the authors present all the information readers need to build confidence, together with examples that solve intriguing problems. Each chapter contains question-and-answer sections, self-study drills, and challenging problems that demand creative solutions. Companion web site (introcs.cs.princeton.edu/java) contains Extensive supplementary information, including suggested approaches to programming assignments, checklists, and FAQs Graphics and sound libraries Links to program code and test data Solutions to selected exercises Chapter summaries Detailed instructions for installing a Java programming environment Detailed problem sets and projects Companion 20-part series of video lectures is available at informit.com/title/9780134493831
Author: Brian D. Eubanks
Publisher: No Starch Press
ISBN: 1593270615
Category : Computers
Languages : en
Pages : 252
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Book Description
Containing 101 fun, interesting, and useful ways to get more out of Java, this title targets developers and system architects who have some basic Java knowledge but may not be familiar with the wide range of libraries available.
Author: David Brackeen
Publisher: New Riders
ISBN: 9781592730056
Category : Computers
Languages : en
Pages : 1012
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Book Description
Companion web site available.
Author: Allen Downey
Publisher: "O'Reilly Media, Inc."
ISBN: 1491972343
Category : Computers
Languages : en
Pages : 157
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Book Description
If you’re a student studying computer science or a software developer preparing for technical interviews, this practical book will help you learn and review some of the most important ideas in software engineering—data structures and algorithms—in a way that’s clearer, more concise, and more engaging than other materials. By emphasizing practical knowledge and skills over theory, author Allen Downey shows you how to use data structures to implement efficient algorithms, and then analyze and measure their performance. You’ll explore the important classes in the Java collections framework (JCF), how they’re implemented, and how they’re expected to perform. Each chapter presents hands-on exercises supported by test code online. Use data structures such as lists and maps, and understand how they work Build an application that reads Wikipedia pages, parses the contents, and navigates the resulting data tree Analyze code to predict how fast it will run and how much memory it will require Write classes that implement the Map interface, using a hash table and binary search tree Build a simple web search engine with a crawler, an indexer that stores web page contents, and a retriever that returns user query results Other books by Allen Downey include Think Java, Think Python, Think Stats, and Think Bayes.
Author: Peter Seibel
Publisher: Apress
ISBN: 1430219491
Category : Computers
Languages : en
Pages : 619
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Book Description
Peter Seibel interviews 15 of the most interesting computer programmers alive today in Coders at Work, offering a companion volume to Apress’s highly acclaimed best-seller Founders at Work by Jessica Livingston. As the words “at work” suggest, Peter Seibel focuses on how his interviewees tackle the day-to-day work of programming, while revealing much more, like how they became great programmers, how they recognize programming talent in others, and what kinds of problems they find most interesting. Hundreds of people have suggested names of programmers to interview on the Coders at Work web site: www.codersatwork.com. The complete list was 284 names. Having digested everyone’s feedback, we selected 15 folks who’ve been kind enough to agree to be interviewed: Frances Allen: Pioneer in optimizing compilers, first woman to win the Turing Award (2006) and first female IBM fellow Joe Armstrong: Inventor of Erlang Joshua Bloch: Author of the Java collections framework, now at Google Bernie Cosell: One of the main software guys behind the original ARPANET IMPs and a master debugger Douglas Crockford: JSON founder, JavaScript architect at Yahoo! L. Peter Deutsch: Author of Ghostscript, implementer of Smalltalk-80 at Xerox PARC and Lisp 1.5 on PDP-1 Brendan Eich: Inventor of JavaScript, CTO of the Mozilla Corporation Brad Fitzpatrick: Writer of LiveJournal, OpenID, memcached, and Perlbal Dan Ingalls: Smalltalk implementor and designer Simon Peyton Jones: Coinventor of Haskell and lead designer of Glasgow Haskell Compiler Donald Knuth: Author of The Art of Computer Programming and creator of TeX Peter Norvig: Director of Research at Google and author of the standard text on AI Guy Steele: Coinventor of Scheme and part of the Common Lisp Gang of Five, currently working on Fortress Ken Thompson: Inventor of UNIX Jamie Zawinski: Author of XEmacs and early Netscape/Mozilla hacker
Author: Vijay K. Garg
Publisher: John Wiley & Sons
ISBN: 0471721263
Category : Computers
Languages : en
Pages : 331
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Book Description
Concurrent and Distributed Computing in Java addresses fundamental concepts in concurrent computing with Java examples. The book consists of two parts. The first part deals with techniques for programming in shared-memory based systems. The book covers concepts in Java such as threads, synchronized methods, waits, and notify to expose students to basic concepts for multi-threaded programming. It also includes algorithms for mutual exclusion, consensus, atomic objects, and wait-free data structures. The second part of the book deals with programming in a message-passing system. This part covers resource allocation problems, logical clocks, global property detection, leader election, message ordering, agreement algorithms, checkpointing, and message logging. Primarily a textbook for upper-level undergraduates and graduate students, this thorough treatment will also be of interest to professional programmers.
