A Balanced Introduction to Computer Science (3rd Edition)

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9780132166751: A Balanced Introduction to Computer Science (3rd Edition)

A Balanced Introduction to Computer Science, 3/e is ideal for Introduction to Computing and the Web courses in departments of Math and Computer Science.


This thoughtfully written text uses the Internet as a central theme, studying its history, technology, and current use. Experimental problems use Web-based tools, enabling students to learn programming fundamentals by developing their own interactive Web pages with HTML and JavaScript. Integrating breadth-based and depth-based chapters, Reed covers a broad range of topics balanced with programming depth in a hands-on, tutorial style.

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From the Back Cover:

A BALANCED INTRODUCTION TO COMPUTER SCIENCE

SECOND EDITION

DAVID REED

 

This new edition of A Balanced Introduction to Computer Science represents a unique and proven 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 and 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

  • Breadth-based chapters focus on topics that are most relevant to a beginning student and are written in an engaging, easy-to-read style.
  • Illustrations, photographs, and Web-based visualization tools are used extensively to illuminate key points.
  • Each chapter ends with a Chapter Summary, which identifies key concepts, and Review Questions that encourage reflection and the integration of content from that chapter.
  • For the second edition, new material has been added on recent developments and new technologies, including flash memory, cascading style sheets, Web accessibility standards, dual-core processors, online music formats, and bioinformatics

Depth Chapters

  • Depth-based chapters are presented as hands-on tutorials, recognizing that the only way to learn programming and problem solving is to actually do it.
  • Tutorial exercises follow an incremental approach, allowing students to master programming concepts by first studying and modifying existing programs before designing and implementing new programs that solve interesting problems.
  • Program design and debugging advice is provided in special sections called "Designer secrets..." and "Common errors to avoid..."
  • Each chapter includes a Chapter Summary that identifies key concepts, and Supplemental material and Exercises to facilitate further study.
  • For the second edition, all code has been updated to meet current XHTML and ECMA standards, and Chapters 7 and 9 have been reorganized to emphasize event-driven programming and user interaction.

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 Dickingon College before joining the faculty at Creighton 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.

 

 

 

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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