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Engineering the Computer Science and IT

Über Engineering the Computer Science and IT

It has been many decades, since Computer Science has been able to achieve tremendous recognition and has been applied in various fields, mainly computer programming and software engineering. Many efforts have been taken to improve knowledge of researchers, educationists and others in the field of computer science and engineering. This book provides a further insight in this direction. It provides innovative ideas in the field of computer science and engineering with a view to face new challenges of the current and future centuries.This book comprises of 25 chapters focusing on the basic and applied research in the field of computer science and information technology.It increases knowledge in the topics such as web programming, logic programming, software debugging, real-time systems, statistical modeling, networking, program analysis, mathematical models and natural language processing.

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  • Sprache:
  • Englisch
  • ISBN:
  • 9789533070124
  • Einband:
  • Gebundene Ausgabe
  • Seitenzahl:
  • 518
  • Veröffentlicht:
  • 1. Oktober 2009
  • Abmessungen:
  • 244x170x29 mm.
  • Gewicht:
  • 1016 g.
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Beschreibung von Engineering the Computer Science and IT

It has been many decades, since Computer Science has been able to achieve tremendous recognition and has been applied in various fields, mainly computer programming and software engineering. Many efforts have been taken to improve knowledge of researchers, educationists and others in the field of computer science and engineering. This book provides a further insight in this direction. It provides innovative ideas in the field of computer science and engineering with a view to face new challenges of the current and future centuries.This book comprises of 25 chapters focusing on the basic and applied research in the field of computer science and information technology.It increases knowledge in the topics such as web programming, logic programming, software debugging, real-time systems, statistical modeling, networking, program analysis, mathematical models and natural language processing.

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