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23 Cards in this Set
- Front
- Back
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Abstraction
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A mental model that removes complex details. Abstraction is the key to computing.
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Peripheral Devicess
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Devices external to the computer memory and used to store data. Made up of input devices, output devices, and auxilary storage devices.
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Transistor
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Replaced the vaccum tubeas the main component in the hardware and used to store information.
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Magnetic Cores
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Tiny, doughnut shaped devices capable of storing one bit of information.
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Magnetic Disk
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Auxiliary storage device tht allows for each data item to be accessed directly by referring to its location on the disk.
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Integrated Circuits (ICs)
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Solid pieces of silicon that contained transistors, other components, and their connections.
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Terminal
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An input/output device with a keyboard and screen. Keyboard gave users direct access to the compuer and the screen provided an immediate response.
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Large-Scale Integration
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Now have a microcomputer on a chip.
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Workstations
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Larger, more powerful machines than a PC, usually meant for business.
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Parallel Architectures
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Computers that use these rely on a set of interconnected central processing units.
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Complier
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A translating program that translates high-level languages into machine language.
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Applications Programmers
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People who used tools like assemblers and compliers to write programs
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Systems Programmers
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People who wrote tools like assmblers and compliers.
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Structured Programming
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A logical, disciplined approach to programming.
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What is the fundamental question underlying all of computing?
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What can be efficiently automated?
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Computer programmers must be skilled in 4 areas, which are?
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1. Algorithmic Thinking
2. Representation 3. Programming 4. Design |
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Algorithmic thinking
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A person's ability to express problems in terms of step-by-step procedures to solve them.
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Representation
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Ability to store data in a way that can be processed efficiently.
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Programming
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Ability to combine algorithmic thinking and representation into computer software
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Design
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Where software serves as a useful purpose.
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Theory
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The building of conceptual frameworks and notations fro understanding relationships among objects in a domain.
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Experimentatin
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Exploring models of systems and architectures within different application domains and determining whether the models predict new behaviors.
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Design
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constrcting computer systems that support work in different application domains.
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