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“Recurrent Neural Networks for Prediction: Learning Algorithms, Architectures and Stability, ISBN-13: 978-0471495178” has been added to your cart. View cart
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Introduction to Java Programming and Data Structures 11th GLOBAL Edition, ISBN-13: 978-1292221878
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Home Computing Introduction to Java Programming and Data Structures 11th GLOBAL Edition, ISBN-13: 978-1292221878
Industrial Automated Systems: Instrumentation and Motion Control, ISBN-13: 978-1435488885
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Catalysis: An Integrated Textbook for Students by Ulf Hanefeld, ISBN-13: 978-3527341597
Catalysis: An Integrated Textbook for Students by Ulf Hanefeld, ISBN-13: 978-3527341597 $100.00 Original price was: $100.00.$23.48Current price is: $23.48.

Introduction to Java Programming and Data Structures 11th GLOBAL Edition, ISBN-13: 978-1292221878

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SKU: introduction-to-java-programming-and-data-structures-11th-global-edition-isbn-13-978-1292221878 Category: Computing
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Description

Introduction to Java Programming and Data Structures, Comprehensive Version 11th GLOBAL Edition by Y. Daniel Liang, ISBN-13: 978-1292221878

[PDF eBook eTextbook]

MyLab Programming NOT included.

1711 pages
Publisher: Pearson; 11 edition (2019)
Language: English
ISBN-10: 9781292221878
ISBN-13: 978-1292221878

For courses in Java Programming.

A fundamentals-first introduction to basic programming concepts and techniques.

Designed to support an introductory programming course, Introduction to Java Programming and Data Structures teaches you concepts of problem-solving and object-orientated programming using a fundamentals-first approach. Beginner programmers learn critical problem-solving techniques then move on to grasp the key concepts of object-oriented, GUI programming, data structures, and Web programming. This course approaches Java GUI programming using JavaFX, which has replaced Swing as the new GUI tool for developing cross-platform-rich Internet applications and is simpler to learn and use. The 11th edition has been completely revised to enhance clarity and presentation, and includes new and expanded content, examples, and exercises.

About the Author

Dr. Y. Daniel Liang earned his Ph.D. in Computer Science from the University of Oklahoma in 1991, and an MS and BS in Computer Science from Fudan University in Shanghai, China, in 1986 and 1983. Prior to joining Armstrong, he was an associate professor in computer science at Purdue University in Fort Wayne, where he twice received the Excellence in Research award.

Dr. Liang was trained in theoretical computer science. He was active in graph algorithms from 1990 to 1995 and published more than ten papers in several established journals such as SIAM Journal on Computing, Discrete Applied Mathematics, Acta Informatics, and Information Processing Letters. Since 1996, he has devoted to writing texts and published more than thirty books with Prentice Hall. His popular computer science texts are widely adopted in the world.

Dr. Liang was elected a Java Champion in 2005 by Sun Microsystems and has given lectures on Java internationally.

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