Fluency with information technology : Skills, concepts, & capabilities / Lawrence Snyder.
By: Snyder, Lawrence [Author]
Language: English Publisher: Boston : Pearson Addison Wesley, c2006Edition: Second editionDescription: xvii, 765 pages : color illustrations ; 26 cmContent type: text Media type: unmediated Carrier type: volume ISBN: 9780321357823; 0321357825Subject(s): Information technology | Computer literacyDDC classification: 004 LOC classification: T58.5 | .S645 2006Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|
BOOK | COLLEGE LIBRARY | COLLEGE LIBRARY SUBJECT REFERENCE | 004 Sh92 2006 (Browse shelf) | Available | CITU-CL-36644 |
Includes index.
I.BECOMING SKILLED AT INFORMATION TECHNOLOGY1. Terms of Endearment: Defining Information Technology2. What the Digerati Know: Exploring the Human-Computer Interface 3. Making the Connection: The Basics of Networking4. Marking up with HTML: A Hypertext Markup Language Primer 5. Searching for Truth: Locating Information on the WWW6. Searching for Guinea Pig B: A Case Study in Online Research II. ALGORITHMS AND DIGITIZING INFORMATION7. To Err is Human: An Introduction to Debugging8. Bits and the "Why" of Bytes: Representing Information Digitally 9. Following Instructions: Principles of Computer Organization10. What's the Plan? Algorithmic Thinking11. Sound, Light and Magic: Representing Multimedia Digitally III. DATA AND INFORMATION 12. Computers in Polite Society: Social Implications of IT13. Fill in the Blank Computing: Basics of Spreadsheets14. Getting to First Base: Introduction to Database Concepts15. A Table with a View: Database Queries16. HAI! Adventure Database: Case Study in Database Design17. Shhh, It's a Secret: Privacy and Digital Security IV. PROBLEM SOLVING 18. Get with the Program: Fundamental Concepts Expressed as JavaScript19. The Bean Counter: A JavaScript Program 20. Thinking Big: Abstraction and Functions21. Once Is Not Enough: Iteration Principles22. The Smooth Motion: Case Study in Algorithmic Problem Solving23. Computers Can Do Almost {Everything, Nothing} Limits to Computation24. Commencement: A Fluency Summary Appendix A: HTML ReferenceAppendix B: JavaScript Programming RulesAppendix C: Bean Counter ProgramAppendix D: Memory Bank ProgramAppendix E: Smooth Motion ProgramGlossaryAnswers to Selected QuestionsIndex
Fluency covers three types of knowledge: skills, concepts, and capabilities. This book covers this foundation of learning by integrating a project-oriented learning approach through examples and real-life problem solving.
There are no comments for this item.