Java: An Introduction to Problem Solving & Programming: An Introduction to Problem Solving and Programming plus MyProgrammingLab with Pearson eText -- Access Card Pac - Brossura
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Java: An Introduction to Problem Solving and Programming, 6e, is ideal for introductory Computer Science courses using Java, and other introductory programming courses in departments of Computer Science, Computer Engineering, CIS, MIS, IT, and Business. Students are introduced to object-oriented programming and important concepts such as design, testing and debugging, programming style, interfaces inheritance, and exception handling. The Java coverage is a concise, accessible introduction that covers key language features. Objects are covered thoroughly and early in the text, with an emphasis on application programs over applets.
Updated for Java 7, the Sixth Edition contains additional programming projects, case studies, and VideoNotes.
MyProgrammingLab, Pearson's new online homework and assessment tool, is available with this edition. Subscriptions to MyProgrammingLab are available to purchase online or packaged with your textbook (unique ISBN). Use the following ISBNs to purchase MyProgrammingLab:
- Java: Introduction to Problem Solving and Programming & MyProgrammingLab with Pearson eText Student Access Code Card for Java, 6/E ISBN: 0132774151
This package includes the Java: An Introduction to Problem Solving and Programming, 6e, textbook, an access card for MyProgrammingLab, and a Pearson eText student access code card for theJava: An Introduction to Problem Solving and Programming, 6e, Pearson eText. - MyProgrammingLab with Pearson eText -- Access Card -- for Java: Intro to Problem Solving and Programming, 6/E ISBN: 0132772388
This stand-alone access card package contains an access card for MyProgrammingLab and a Pearson eText student access code card for the Java: An Introduction to Problem Solving and Programming, 6e, Pearson eText. - Purchase instant access to MyProgrammingLab online.
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Informazioni sull?autore
Walter Savitch received his Ph.D. degree in Mathematics from the University of California at Berkeley in 1969. Since that time he has been on the faculty at the University of California at San Diego and is currently a Professor of Computer Science and director of the Interdisciplinary Ph.D. Program in Cognitive Science. Professor Savitch’s research areas include complexity theory, formal language theory, computational linguistics, and the development of computer science education materials. In addition to writing numerous research articles and involvement in other editorial projects, he has written a number of well-known computer science textbooks, including Pascal, Ada, and C++ CS1 and CS2 textbooks.
Contributing author, Kenrick Mock, is an Associate Professor at the University of Alaska–Anchorage. He has also taught at Washington State University, Portland State University, and the University of California–Davis. He teaches undergraduate computer science courses across the curriculum including introductory C++, Java™, Visual Basic® for non-programmers, algorithms, computer security, and artificial intelligence. With the Coastal Marine Institute at UAA, he helped develop a computer system to aid in research about Alaska sea ice and the atmosphere. Before becoming a teacher, Mock was a research scientist and software engineer at Intel™. He received a PhD in computer science from UC Davis.
Contributing author, Kenrick Mock, is an Associate Professor at the University of Alaska–Anchorage. He has also taught at Washington State University, Portland State University, and the University of California–Davis. He teaches undergraduate computer science courses across the curriculum including introductory C++, Java™, Visual Basic® for non-programmers, algorithms, computer security, and artificial intelligence. With the Coastal Marine Institute at UAA, he helped develop a computer system to aid in research about Alaska sea ice and the atmosphere. Before becoming a teacher, Mock was a research scientist and software engineer at Intel™. He received a PhD in computer science from UC Davis.
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