Computer Science: An Interdisciplinary Approach
©2016 | Addison-Wesley Professional
Format | ePub |
ISBN-13: | 9780134076454 |
Availability |
Live
|
Robert Sedgewick, Princeton University
Kevin Wayne
©2016 | Addison-Wesley Professional
Format | ePub |
ISBN-13: | 9780134076454 |
Availability |
Live
|
K-12 educators: This link is for individuals purchasing with credit cards or PayPal only. Contact your Savvas Learning Company Account General Manager for purchase options.
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.
The full text downloaded to your computer
With eBooks you can:
eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps.
Upon purchase, you will receive via email the code and instructions on how to access this product.
Time limit
The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Pearson offers affordable and accessible purchase options to meet the needs of your students. Connect with us to learn more.
K12 Educators: Contact your Savvas Learning Company Account General Manager for purchase options. Instant Access ISBNs are for individuals purchasing with credit cards or PayPal.
Savvas Learning Company is a trademark of Savvas Learning Company LLC.
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.
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.
We're sorry! We don't recognize your username or password. Please try again.
The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning.
You have successfully signed out and will be required to sign back in should you need to download more resources.