Fluency with Information Technology: Skills, Concepts, and Capabilities

Fluency with Information Technology: Skills, Concepts, and Capabilities, Third Edition, equips readers who are already familiar with computers, the Internet, and the World Wide Web with a deeper understanding of the broad capabilities of technology.

Becoming Skilled at Information Technology: Terms of Endearment: Defining Information Technology; What the Digerati Know: Exploring the Human–Computer Interface; Making the Connection: The Basics of Networking; Marking Up with HTML: A Hypertext Markup Language Primer; Searching for Truth: Locating Information on the WWW; Searching for Guinea Pig B: Case Study in Online Research. Algorithms and Digitizing Information: To Err Is Human: An Introduction to Debugging; Bits and the "Why" of Bytes: Representing Information Digitally; Following Instructions: Principles of Computer Operation; What's the Plan? Algorithmic Thinking; Light, Sound, Magic: Representing Multimedia Digitally. Data and Information: Computers in Polite Society: Social Implications of IT; Shhh, It's a Secret: Privacy and Digital Security; Fill-in-the-Blank Computing: Basics of Spreadsheets; ‘What If’ Thinking Helps: Advanced Spreadsheets for Planning; A Table with a View: Database Queries; iDiary: A Case Study in Database Design. Problem Solving: Get with the Program: Fundamental Concepts Expressed in JavaScript; The Bean Counter: A JavaScript Program; Thinking Big: Programming Functions; Once Is Not Enough: Iteration Principles; The Smooth Motion: Case Study in Algorithmic Problem Solving; Computers Can Do Almost {Everything, Nothing}: Limits to Computation; A Fluency Summary: Click to Close.

For all readers interested in computers, the Internet, the World Wide Web, and a deeper understanding of the broad capabilities of technology.

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 BA 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 Syndey University before settling down at the University of Washington in 1983, where he is currently a professor of computer science and engineering.