Fluency with Information Technology
Skills, Concepts, and Capabilities
2nd Edition
Published on 22. August 2005
Book
Paperback/Softback
784 pages
978-0-321-35782-3 (ISBN)
Description
To meet the demands of today's world and to adapt to future technology advancements, individuals must use technology as a tool for organization, communication, research, and problem solving. To help students become effective users of today's technology and place them on the path of lifelong learning. Fluency covers three types of knowledge: Skills, Concepts, and Capabilities. Skills consists of competence with contemporary computer applications; Concepts are the fundamental principles upon which information technology is founded, including basics ideas relating to information, computers, databases, and networks; Capabilities is the ability to apply reasoning in complex situations, which allows students to master higher-level thinking in the context of information technology. Larry Snyder covers this foundation of learning by integrating a project-oriented learning approach through examples and real-life problem solving.
Read what professionals, college students, and professors have to say about the importance of technology knowledge in a recent New York Times (nytimes.com) article, http://nytimes.com/2005/08/23/technology/23geeks.html?pagewanted=print.
Article: A Techie, Absolutely, and More
By: Steve Lohr
Date: August 23rd, 2005
Business Section
Read what professionals, college students, and professors have to say about the importance of technology knowledge in a recent New York Times (nytimes.com) article, http://nytimes.com/2005/08/23/technology/23geeks.html?pagewanted=print.
Article: A Techie, Absolutely, and More
By: Steve Lohr
Date: August 23rd, 2005
Business Section
More details
Edition
2nd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 256 mm
Width: 201 mm
Thickness: 24 mm
Weight
1282 gr
ISBN-13
978-0-321-35782-3 (9780321357823)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
New editions
Book
11/2007
3rd Edition
Pearson
€58.17
Article exhausted; check for reprint
Previous edition
Book
08/2003
Pearson
€45.79
Article exhausted; check for reprint
Person
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. Since then he has taught at schools like Yale, MIT, Harvard, and Syndey University before settling down in 1983 at the University of Washington.
Content
I.BECOMING SKILLED AT INFORMATION TECHNOLOGY
1. Terms of Endearment: Defining Information Technology
2. What the Digerati Know: Exploring the Human-Computer Interface
3. Making the Connection: The Basics of Networking
4. Marking up with HTML: A Hypertext Markup Language Primer
5. Searching for Truth: Locating Information on the WWW
6. Searching for Guinea Pig B: A Case Study in Online Research
II. ALGORITHMS AND DIGITIZING INFORMATION
7. To Err is Human: An Introduction to Debugging
8. Bits and the "Why" of Bytes: Representing Information Digitally
9. Following Instructions: Principles of Computer Organization
10. What's the Plan? Algorithmic Thinking
11. Sound, Light and Magic: Representing Multimedia Digitally
III. DATA AND INFORMATION
12. Computers in Polite Society: Social Implications of IT
13. Fill in the Blank Computing: Basics of Spreadsheets
14. Getting to First Base: Introduction to Database Concepts
15. A Table with a View: Database Queries
16. HAI! Adventure Database: Case Study in Database Design
17. Shhh, It's a Secret: Privacy and Digital Security
IV. PROBLEM SOLVING
18. Get with the Program: Fundamental Concepts Expressed as JavaScript
19. The Bean Counter: A JavaScript Program
20. Thinking Big: Abstraction and Functions
21. Once Is Not Enough: Iteration Principles
22. The Smooth Motion: Case Study in Algorithmic Problem Solving
23. Computers Can Do Almost {Everything, Nothing} Limits to Computation
24. Commencement: A Fluency Summary
Appendix A: HTML Reference
Appendix B: JavaScript Programming Rules
Appendix C: Bean Counter Program
Appendix D: Memory Bank Program
Appendix E: Smooth Motion Program
Glossary
Answers to Selected Questions
Index
1. Terms of Endearment: Defining Information Technology
2. What the Digerati Know: Exploring the Human-Computer Interface
3. Making the Connection: The Basics of Networking
4. Marking up with HTML: A Hypertext Markup Language Primer
5. Searching for Truth: Locating Information on the WWW
6. Searching for Guinea Pig B: A Case Study in Online Research
II. ALGORITHMS AND DIGITIZING INFORMATION
7. To Err is Human: An Introduction to Debugging
8. Bits and the "Why" of Bytes: Representing Information Digitally
9. Following Instructions: Principles of Computer Organization
10. What's the Plan? Algorithmic Thinking
11. Sound, Light and Magic: Representing Multimedia Digitally
III. DATA AND INFORMATION
12. Computers in Polite Society: Social Implications of IT
13. Fill in the Blank Computing: Basics of Spreadsheets
14. Getting to First Base: Introduction to Database Concepts
15. A Table with a View: Database Queries
16. HAI! Adventure Database: Case Study in Database Design
17. Shhh, It's a Secret: Privacy and Digital Security
IV. PROBLEM SOLVING
18. Get with the Program: Fundamental Concepts Expressed as JavaScript
19. The Bean Counter: A JavaScript Program
20. Thinking Big: Abstraction and Functions
21. Once Is Not Enough: Iteration Principles
22. The Smooth Motion: Case Study in Algorithmic Problem Solving
23. Computers Can Do Almost {Everything, Nothing} Limits to Computation
24. Commencement: A Fluency Summary
Appendix A: HTML Reference
Appendix B: JavaScript Programming Rules
Appendix C: Bean Counter Program
Appendix D: Memory Bank Program
Appendix E: Smooth Motion Program
Glossary
Answers to Selected Questions
Index