Computer Science Illuminated by Nell Dale

By Nell Dale

Designed to give a breadth first assurance of the sector of machine technological know-how.

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The following table shows the subareas outlined by the task force plus three areas that have emerged since that time. Subareas of Computer Science Algorithms and data structures Programming languages Architecture Numerical and symbolic computation Operating systems Software methodology and engineering Databases and information retrieval Artificial intelligence and robotics Human–computer communication Graphics Organizational informatics Bioinformatics Of the 12 subject subareas, six relate to understanding and building computing tools in general: algorithms and data structures, programming 25 26 Chapter 1 The Big Picture languages, (computer) architecture, operating systems, software methodology and engineering, and human-computer communication.

Yet despite the variety of programming issues, the goal remains the same: to solve problems. Chapters 6 through 9 explore many issues related to programming and the management of data. Every computer has an Operating System (OS) to help manage the computer’s resources. Operating systems, such as Windows 2000, Linux, or the Mac OS, help us interact with the computer system and manage the way hardware devices, programs, and data interact. Knowing what an operating system does for us is key to understanding the computer in general.

And abstractions keep appearing within individual layers in various ways as well. In fact, abstraction can be seen throughout the entire evolution of computing systems, as we explore in the next section. 2 The History of Computing The historical foundation of computing goes a long way toward explaining why computing systems today are designed as they are. Think of this section as a story whose characters and events have led to the place we are now and form the foundation of the exciting future to come.

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