Fluency With Information Technology

This print textbook is available for students to rent for their classes. The Pearson print rental program provides students with affordable access to learning materials, so they come to class ready to succeed. For courses in introductory Computer Science. Teaches modern readers to become not just computer users, but computational thinkers Having grown up with computers, most readers already know how to use Information Technology (IT) in their daily lives–but use is not understanding. More than ever, they must become “computational thinkers,” able to conceptualize where and how computation can be used effectively. Equipping readers with a deeper understanding of the broad capabilities of technology, Fluency with Information Technology, 7th Edition uses a project-oriented learning approach supported by examples and realistic problem-solving scenarios. Authors Larry Snyder and Ray Henry teach readers to navigate IT independently and become effective users of today’s resources, forming a foundation of skills they can adapt to their personal and career goals as future technologies emerge. The text’s approach is centered on three types of content–skills, concepts, and capabilities–that prepare readers to adapt to an ever-changing computing environment. This 7th Edition incorporates updates and new content that mirrors the way contemporary readers encounter technology in their lives.

Table of Contents:
I. Becoming Skilled at Computing 1. Defining Information Technology 2. Exploring the Human-Computer Interface 3. The Basics of Networking 4. A Hypertext Markup Language Primer 5. Locating Information on the World Wide Web 6. An Introduction to Debugging II. Algorithms and Digitizing Information 7. Representing Information Digitally 8. Representing Multimedia Digitally 9. Principles of Computer Operations 10. Algorithmic Thinking III. Data and Information 11. Social Implications of IT 12. Privacy and Digital Security 13. The Basics of Spreadsheets 14. Advanced Spreadsheets for Planning 15. Introduction to Database Concepts 16. A Case Study in Database Organization IV. Problem Solving 17. Fundamental Concepts Expressed in JavaScript 18. A JavaScript Program 19. Programming Functions 20. Iteration Principles 21. A Case Study in Algorithmic Problem Solving 22. Limits to Computation 23. A Fluency Summary Glossary Answers to Selected Questions Index Credits

About the Author :
Larry Snyder was the chairman of the National Research Council's (NRC) committee that issued the report, "Being Fluent with Information Technology." It is this NRC committee, funded by the National Science Foundation, that identified the three types of knowledge needed in Fluency. Larry received his B.A. in 1968 from the University of Iowa and his Ph.D. in 1973 at Carnegie Mellon. He taught at schools such as Yale, MIT, Harvard, and Sydney University before settling down at the University of Washington in 1983, where he is currently a professor of Computer Science and Engineering.