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  • Computer Science: An Interdisciplinary Approach

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Computer Science: An Interdisciplinary Approach

by Robert Sedgewick (Author), Kevin Wayne (Author) Format: Hardcover
4.7 out of 5 stars (87)

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

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  1. ISBN-10
    0134076427
  2. ISBN-13
    978-0134076423
  3. Edition
    1st
  4. Publisher
    Addison-Wesley Professional
  5. Publication date
    June 15, 2016
  6. Language
    English
  7. Dimensions
    7.75 x 2.05 x 9.45 inches
  8. Print length
    1168 pages
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Editorial Reviews

About the Author

Robert Sedgewick is the William O. Baker Professor of Computer Science at Princeton University, where he was founding chairman of the Department of Computer Science. He has held visiting research positions at Xerox PARC, Institute for Defense Analyses, and INRIA, and served on the board of directors at Adobe Systems. His research interests include analytic combinatorics, design and analysis of algorithms and data structures, and program visualization. He has written seventeen books.

Kevin Wayne is the Phillip Y. Goldman Senior Lecturer in Computer Science at Princeton University, where he has taught since 1998, earning several teaching awards. He is an ACM Distinguished Educator and holds a Ph.D. in operations research and industrial engineering from Cornell University.

Product details

  • Publisher ‏ : ‎ Addison-Wesley Professional
  • Publication date ‏ : ‎ June 15, 2016
  • Edition ‏ : ‎ 1st
  • Language ‏ : ‎ English
  • Print length ‏ : ‎ 1168 pages
  • ISBN-10 ‏ : ‎ 0134076427
  • ISBN-13 ‏ : ‎ 978-0134076423
  • Item Weight ‏ : ‎ 3.62 pounds
  • Dimensions ‏ : ‎ 7.75 x 2.05 x 9.45 inches
  • Best Sellers Rank: #808,375 in Books (See Top 100 in Books)
  • Customer Reviews:
    4.7 out of 5 stars (87)

About the authors

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  1. Kevin Wayne

    Kevin Wayne

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  2. Robert Sedgewick

    Robert Sedgewick

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    Robert Sedgewick (born December 20, 1946) is a computer science professor at Princeton University and a member of the board of directors of Adobe Systems.

    Sedgewick completed his Ph.D. in 1975 under the supervision of Donald Knuth at Stanford. His thesis was about the quicksort algorithm. In 1975–85 he served on the faculty of Brown University.

    Sedgewick was the founding Chairman (1985) of the Department of Computer Science at Princeton University and is currently still a Professor of Computer Science at Princeton. He was a visiting researcher at Xerox PARC, Institute for Defense Analyses and INRIA.

    In 1997 Robert Sedgewick was inducted as a Fellow of the Association for Computing Machinery for his seminal work in the mathematical analysis of algorithms and pioneering research in algorithm animation.

    Robert Sedgewick is the author of a well-known book series Algorithms, published by Addison-Wesley. The first edition of the book was published in 1983 and contained code in Pascal. Subsequent editions used C, C++, Modula-3, and Java.

    With Philippe Flajolet he wrote several books and preprints which promoted analytic combinatorics, a discipline which relies on the use of generating functions and complex analysis in order to enumerate combinatorial structures, and to study their asymptotic properties. As explained by Knuth in The Art of Computer Programming, this is the key to perform average case analysis of algorithms.

    He teaches four open online courses on the online learning platform Coursera, namely Algorithms Part I and Part II, Analysis of Algorithms and Analytic Combinatorics.

    Bio from Wikipedia, the free encyclopedia.

    See more on the author's page
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Customer reviews

4.7 out of 5 stars
87 global ratings

Customers say

Customers find this book to be a wonderful introduction to computer science, with one review specifically noting its comprehensive coverage of programming and problem-solving techniques. The content receives positive feedback, with one customer describing it as a great first book in a series.
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8 customers mention comprehensive, 8 positive, 0 negative
Customers find the book comprehensive and well-suited as a textbook for learning computer science, with one customer specifically noting its effectiveness in teaching programming and problem-solving skills.
Very Comprehensive and interesting. Exercises are creative and challenging.Read more
A great reference book when needed.Read more
This is a wonderful introduction to computer science. The author is very careful and precise with his definitions and descriptions....Read more
...This book is an excellent introduction to CS....Read more
6 customers mention content, 6 positive, 0 negative
Customers find the content of the book wonderful, with one customer noting it's a great first book in a series.
Good Book.Easy to read. I read this book and follow by Algorithms of the same author....Read more
This book provides insights into computer science. It's a wonderful book for anyone starting a journey in computer science.Read more
...approach of problem solving, this could be one of the best books out there....Read more
a very nice bookRead more

Top reviews from the United States

  • pdp
    5 out of 5 stars
    Very good book on programmatic thinking
    Reviewed in the United States on May 3, 2017
    Format: Hardcover
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    If you are not a CS major like me and not confident on the programmatic approach of problem solving, this could be one of the best books out there. The book goes beyond teaching Java language syntax which many books do, and teaches programming and approaching problems. The exercise problems are really good and there are extra problems with solutions on the book website which I found helpful. Thanks to the authors, my skills improved a lot. I am on to the next in the series - Algorithms 4e.

    32 people found this helpful
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  • quant 42
    5 out of 5 stars
    Great introduction to and survey of computer science, and an introduction to Java.
    Reviewed in the United States on November 5, 2020
    Format: Hardcover
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    Full content visible, double tap to read brief content.

    This is a wonderful introduction to computer science. The author is very careful and precise with his definitions and descriptions. This book is covered in two online courses in Coursera. Familiarity with the material in this book is a necessary condition for taking the authors Algorithms I and II courses

    2 people found this helpful
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  • Kreuzberg
    5 out of 5 stars
    This is a very good textbook for someone learning CS
    Reviewed in the United States on January 18, 2018
    Format: Hardcover
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    Full content visible, double tap to read brief content.

    This is a very good textbook for someone learning CS, the examples are apt and the authors do not waste time of the student by focussing on non-essential problems.

    8 people found this helpful
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  • Rabinder
    5 out of 5 stars
    Good Book. Easy to read
    Reviewed in the United States on July 15, 2016
    Format: eTextbook
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    Good Book.Easy to read. I read this book and follow by Algorithms of the same author.

    Please check location 738 795 807 836 845 874 884 895 and many others . It is missing.

    One person found this helpful
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  • Moses
    5 out of 5 stars
    Great book
    Reviewed in the United States on December 19, 2021
    Format: Hardcover
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    Full content visible, double tap to read brief content.

    This book provides insights into computer science. It's a wonderful book for anyone starting a journey in computer science.

    2 people found this helpful
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  • Amazon Customer
    5 out of 5 stars
    Excellent for beginners
    Reviewed in the United States on November 23, 2021
    Format: Hardcover
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    This gives you the necessary introduction to the Java land.

    2 people found this helpful
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  • I have to keep subscribed and Iam upset that I keep getting charged when I canceled this 4 months ago. I don’t use this product and I’m sending it back.
    3 out of 5 stars
    Great to have.
    Reviewed in the United States on March 6, 2024
    Format: Hardcover
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    Full content visible, double tap to read brief content.

    A great reference book when needed.

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  • Amazon Customer
    5 out of 5 stars
    Great first book in a "series"
    Reviewed in the United States on August 4, 2016
    Format: Hardcover
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    I do love the Sedgewick "series" of CS books that I've read ( Programming -> Algorithms -> Analysis of Algorithms). This book is an excellent introduction to CS. One thing I am not sure of is the difference between this book, and a book like "Introduction to Programming in Java".

    12 people found this helpful
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Top reviews from other countries

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  • Reza Mir
    5 out of 5 stars
    Five Stars
    Reviewed in Canada on June 22, 2018
    Format: Hardcover
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    Another excellent book from Sedgewick.

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  • PL
    5 out of 5 stars
    Excellent book
    Reviewed in Germany on November 18, 2022
    Format: Hardcover
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    Excellent book

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  • Smart Aleck
    5 out of 5 stars
    Gayet güzel bir kitap
    Reviewed in Turkey on August 26, 2023
    Format: Hardcover
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    Kitap zaman zaman sıkıcı olabiliyor ancak bu programlama işi zaten sıkıcı bir iş sevmiyorsanız hiç bulaşmayın ChatGPT kullanın ona yazdırın derim 😁 Bu işi üstadından öğrenmek isteyenler ve vakti olanlar yazarın ayrıca kitap içeriğini açıklayan YouTube’da kurs videolarını bulabilirsiniz…Ayrıca, bu kitap yazarın Introduction to Programming in Java kitabından daha kapsamlı. İlk etapta Introduction to Programming in Java kitabını almak niyetindeydim ancak dediğim gibi bu kitab daha kapsamlı olduğu için tercih ettim.

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  • Shahi
    5 out of 5 stars
    Awesome book - buy it.
    Reviewed in the United Kingdom on October 15, 2017
    Format: Hardcover
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    Full content visible, double tap to read brief content.

    Awesome book. Covers topic in detail but is also easy to understand.

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  • Marco Schoch
    2 out of 5 stars
    there are better java books out there
    Reviewed in Germany on January 25, 2021
    Format: Hardcover
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    not useful for learning java in a time efficient manner

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