Introduction to Programming in Java (Paperback)

Robert Sedgewick

ISBN 10: 0672337843 / ISBN 13: 9780672337840

Published by Pearson Education (US), New Jersey, 2017

About this Item

Paperback. Reflects Java 8 and Java's modern 64-bit memory model Learning to program is essential to the education of every student - in the sciences, engineering, and far beyond. As students learn to create useful applications, they also take the first steps towards understanding the computer sciences' massive impact on the modern world. Using Java, this book aims to teach programming to anyone who needs or want to learn it, in a scientific context. Princeton University's Robert Sedgewick and Kevin Wayne teach essential skills for computational problem-solving that are applicable in many modern computing environments. Fully updated to reflect Java 8 and Java's modern 64-bit memory model, this edition teaches through important examples from science, mathematics, engineering, and commercial computing. Each chapter contains questions and answers, exercises, creative exercises, and a compelling, classroom-tested case study - all reflecting the authors' 20+ years of experience teaching introductory programming and computer science at Princeton. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9780672337840

Bibliographic Details

• Title: Introduction to Programming in Java (Paperback)
• Publisher: Pearson Education (US), New Jersey
• Publication Date: 2017
• Language: English
• ISBN 10: 0672337843
• ISBN 13: 9780672337840
• Binding: Paperback
• Edition: 2nd Edition
• Condition: new

About this title

Synopsis

Programming skills are indispensable in today’s world, not just for computer science students, but also for anyone in any scientific or technical discipline. An Introduction to Programming in Java, Second Edition, by Robert Sedgewick and Kevin Wayne is an accessible, interdisciplinary treatment that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students and professionals to learn that programming is a natural, satisfying, and creative experience, and to become conversant with one of the world’s most widely used languages.

 

This example-driven guide focuses on Java’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science.

 

Coverage includes

• Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and sound
• Functions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reused
• Algorithms and data structures: sort/search algorithms, stacks, queues, and symbol tables
• Applications from applied math, physics, chemistry, biology, and computer science

 

Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative engagement with the material throughout. Together with the companion materials, this book empowers people pursue a modern approach to teaching and learning programming.

 

Companion web site contains

• Chapter summaries
• Supplementary exercises, some with solutions
• Detailed instructions for installing a Java programming environment
• Program code and test data suitable for easy download
• Detailed creative exercises, projects, and other supplementary mat

 

And companion studio-produced online videos provide students and professionals with the opportunity to engage with the material at their own pace and instructors the opportunity to spend their time with students helping them to succeed on assignments and exams.

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.