Fundamentals of OOP and Data Structures in Java
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Product details:
- Publisher Cambridge University Press
- Date of Publication 5 June 2000
- ISBN 9780521662208
- Binding Hardback
- No. of pages482 pages
- Size 261x184x28 mm
- Weight 1000 g
- Language English
- Illustrations 140 b/w illus. 9 tables 125 exercises 0
Categories
Short description:
A book for an undergraduate course on data structures which integrates the concepts of object-oriented programming and GUI programming.
MoreLong description:
Fundamentals of OOP and Data Structures in Java is a text for an introductory course on classical data structures. Part One of the book presents the basic principles of Object-Oriented Programming (OOP) and Graphical User Interface (GUI) programming with Java as the example language. Part Two introduces each of the major data structures with supporting, GUI-based laboratory programs designed to reinforce the basic concepts and principles of the text. These laboratories allow the reader to explore and experiment with the properties of each data structure. All source code for the laboratories is available on the web. By integrating the principles of OOP and GUI programming, this book takes the unique path of presenting the fundamental issues of data structures within the context of paradigms that are essential to today's professional software developer. The authors assume the reader has only an elementary understanding of Java and no experience with OOP.
'... a very good approach in introducing the concepts of object-orientated programming ... I recommend this book for professionals who want a deeper look at the design of data structures in Java.' Karthik Gajjala, Artificial Intelligence
Table of Contents:
Part I. Foundations: 1. Cornerstones of OO; 2. Objects; 3. Class construction; 4. Relationships between classes; 5. GUIs - basic concepts; 6. Implementing simple GUIs in Java; 7. Errors and exceptions; 8. Recursion; Part II. Data Structures: 9. Abstract data types; 10. Containers as abstract data types; 11. Stack and queue; 12. Application of stack; 13. Lists; 14. Trees, heaps and priority queues; 15. Search trees; 16. Hashing and sets; 17. Association and dictionary; 18. Sorting; Appendices.
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