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Computer science : an interdisciplinary approach / Robert Sedgewick, Kevin Wayne, Princeton University.
Author
Sedgewick, Robert, 1946-
[Browse]
Format
Book
Language
English
Published/Created
Boston : Addison-Wesley, [2017]
Crawfordsville, Ind. : R.R. Donnelly.
©2017
Description
xix, 1146 pages : illustrations ; 24 cm
Availability
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Status
Location Service
Notes
Engineering Library - Reserve
QA76 .S399 2016
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Engineering Library - Stacks
QA76 .S399 2016
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Engineering Library - Stacks
QA76 .S399 2016
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Firestone Library - Faculty Publications
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Lewis Library - Stacks
QA76 .S399 2016
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Details
Subject(s)
Computer science
—
Textbooks
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Computer programming
—
Textbooks
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Author
Wayne, Kevin, 1971-
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Library of Congress genre(s)
Textbooks
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Summary note
Today, learning to program and understanding the basics of computation isn't just indispensable for every science and engineering student: it's crucial for everyone who wants to understand the world they live in. In Computer Science: An Interdisciplinary Approach, pioneering Princeton computer science professors Robert Sedgewick and Kevin Wayne introduce core Java programming techniques in a scientific context, while also demystifying computation and illuminating its intellectual underpinnings. Writing for students and professionals of all types and backgrounds, Sedgewick and Wayne draw on all they've learned in teaching hundreds of thousands of beginners worldwide, both in person and online. The companion text to their eagerly-anticipated Course: Computer Science MOOC, this book's intelligent, broad-based approach draws on applications from science, mathematics, engineering, and commercial computing. Throughout, they engage students by teaching how to solve interesting and significant problems - not toy problems. Coverage includes: Elements of programming: built-in data types, conditionals, loops, arrays, I/O, and more; Functions and modules: static methods, libraries, clients, and recursion; Object-oriented programming: understanding, creating, and designing data types; Algorithms and data structures: performance, sorting, searching, stacks, queues, and symbol tables; Computing machines: data representations, instruction set architecture, programming, simulations, and more; Building a computer: gates, circuits, components, and CPUs; Theory of computation: formal languages, abstract machines, computability, universality, and intractability. Each chapter contains questions and answers, exercises, creative exercises, and a compelling, classroom-tested case study - all reflecting Sedgewick and Wayne's years of experience teaching introductory computer science at Princeton. The book is complemented by extensive resources on a comprehensive website, including hundreds of Java programs and real-world data sets. -- Provided by publisher.
Notes
Includes index.
Contents
Elements of Programming
Functions and Modules
Object-Oriented Programming
Algorithms and Data Structures
Theory of Computing
A Computing Machine
Building a Computing Device.
Show 4 more Contents items
ISBN
0134076427 ((hardcover))
9780134076423 ((hardcover))
LCCN
2016936496
OCLC
911172374
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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