The Third Edition of Data Abstraction and Problem Solving with Java: Walls and Mirrors employs the analogies of Walls (data abstraction) and Mirrors (recursion) to teach Java programming design solutions, in a way that beginning students find accessible. The book has a student-friendly pedagogical approach that carefully accounts for the strengths and weaknesses of the Java language. With this book, students will gain a solid foundation in data abstraction,...
Dr. Janet Prichard is an assistant professor at Bryant College where she teaches web design and development, object-oriented computing, operating systems, and data structures courses. She has a B.A. in mathematics from Providence College, and earned her M.S. and Ph.D. in computer science from the University of Rhode Island. Her academic interests include real-time databases, database query languages, object-oriented analysis and design methodologies, database standards, client-server models,...
This book is based on the classic "Walls and Mirrors" approach used in the best-selling Data Abstraction and Problem Solving in C++, and is now updated to the Java programming language. It uses the running theme of "Walls and Mirrors" to help make clear the challenging concepts of recursion (the mirrors) and data abstraction (the walls). Authors Carrano and Prichard cover key object-oriented concepts, including encapsulation,...
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Taschenbuch. Condition: Neu. Unbenutzte Restauflage Unbenutzt. Schnelle Lieferung, Kartonverpackung. Abzugsfähige Rechnung. Bei Mehrfachbestellung werden die Versandkosten anteilig erstattet. -This book is based on the classic 'Walls and Mirrors' approach used in the best-selling Data Abstraction and Problem Solving with C++, and is now updated to the Java programming language. It uses the running theme of 'Walls and Mirrors' to help make clear the challenging concepts of recursion (the mirrors) and data abstraction (the walls). Authors Carrano and Prichard cover key object-oriented concepts, including encapsulation, inheritance, and polymorphism. However, the focus of the book remains on data abstraction. 808 pp. Englisch. Seller Inventory # INF1000036811
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