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A Balanced Introduction to Computer Science (3rd Edition) By David Reed
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Review
“The textbook [Reed] explains a concept, shows the code, then give a pictorial example to reinforce that point. An excellent example is in chapter four when talking about ONMOUSEOVER and ONMOUSEOUT.” — Dr. Jenna Miley, Bainbridge College
“The thing that struck me [about Reed] was how the examples are presented followed by adding functionality, basically anticipating questions that a reader would have after doing the examples.” — Lionel Craddock, Bluefield State College
“The examples are illuminating and effective.” — Lionel Craddock, Bluefield State College
“This text [Reed] offers very clear explanations of difficult topics.” — Ralph Hooper, University of Alabama
“Reed’s examples are relevant and fun; his language is clear and concise, and his use of the language is accessible to non-majors.” — Arnold D. Miles, Georgetown University
“The programming is presented in a well-organized manner; it builds smoothly.” — Arnold D. Miles, Georgetown University
From the Back Cover
A Balanced Introduction to Computer Science represents a unique and innovative approach to introductory computer science courses. In contrast with traditional texts that focus almost exclusively on either breadth (a survey of computing concepts) or depth (programming and problem solving), this text provides a balanced view of computing. Breadth chapters cover concepts and issues in computing that are most relevant to the beginning student, including computer terminology, the Internet and Web. algorithms and software. and technology's impact on society. Mixed among these topics are depth chapters that introduce fundamental programming concepts anti skills with hands-on tutorials. Using HTML and the programming language JavaScript. students develop problem-solving skills as they design and implement interactive Web pages.
Breadth Chapters About the Author
David Reed is an Associate Professor and Chair of the Department of Computer Science at Creighton University in Omaha, Nebraska. He received his M.S. and Ph.D. in computer science from Duke University in 1992, and subsequently taught and conducted research at Duke University and Dickinson College before joining the Creighton faculty in 2000. His primary interests are in artificial intelligence, programming languages, and computer science education, where he has published extensively on topics such as apprentice-based learning, Web-based programming, and innovative instructional methods in introductory computer science. He is a member of the Liberal Arts Computer Science Consortium and the Chief Reader for the Advanced Placement® Computer Science Exam since 2004.
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