Home > Books > Web Technologies: A Computer Science Perspective
Network Programming, Internet & World Wide Web - General & Miscellaneous, Web Services, Web Programming, Digital Media & New Communications Technologies
Web Technologies: A Computer Science Perspective is ideal for courses in Web-based Systems (aka Web/Internet Programming/Systems) in Computer Science, MIS, and IT departments.
This text introduces the key technologies that have been developed as part of the birth and maturation of the World Wide Web. It provides a consistent, in-depth treatment of technologies that are unlikely to receive detailed coverage in non-Web computer science courses. Students will find an ongoing case study that integrates a wide spectrum of Web technologies, guidance on setting up their own software environments, and a variety of exercises and project assignments.
Synopsis
This book introduces the key technologies that have been developed as part of the World Wide Web, helping readers understand the Web at a fundamental level. This provides a solid foundation from which readers can move on to higher-level Web development tools.
Detailed coverage of a wide spectrum of Web technologies, including AJAX, HTTP, XHTML, CSS, JavaScript, Document Object Model (DOM), Java Servlets,
For professionals interested in expanding their knowledge of emerging[DU1] Web technologies.
About the Author, Jeffrey C. Jackson
Jeff Jackson began his computing career as a software engineer in 1978. After a number of years in industry and a brief stint teaching undergraduate computer science, he entered the graduate computer science program at Carnegie Mellon, earning his Ph.D. in 1995. Subsequently, he joined the faculty at Duquesne University, where he is now a professor of computer science. From 1996 through 2000, in addition to his affiliation with Duquesne, Jeff worked for a dot-com in various positions, including Director of Research. He also has a number of journal publications to his credit and is currently a director of the Association for Computational Learning.