Limitations of Computing Flashcards

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1
Q

What is precision?

A

The maximum number of significant digits that can be represented.

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2
Q

What are error-detecting codes?

A

Techniques to determine if an error has occurred during data transmission and then alert the system.

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3
Q

What are error-correcting codes?

A

Error codes that detects an error has occurred and makes an attempt to correct it.

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4
Q

What is parity bit?

A

An extra piece of information that indicates whether a piece of information is correct or not and whether it needs to be changed.

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5
Q

What is an odd parity?

A

It requires the number of 1s in a byte including the parity bit to be odd.

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6
Q

What is an even parity?

A

It requires the number of 1s in a byte including the parity bit to be even.

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7
Q

When does the parity bit fail?

A

When there’s more than one error.

It does not show the user how to correct the data it only allows a request of re-submission.

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8
Q

What is check digit?

A

A scheme that sums the individual digits of a number and store the unit digit with the message.

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9
Q

What is higher-dimensional parity-check?

A

For a one-dimensional message we can locate an occurrence of a single error by converting it into a two-dimensional format. For an n-dimensional parity check we can only detect and correct up to n/2 errors.

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10
Q

What are the four stages of computer problem solving?

A
  • Writing the problem
  • Develop the algorithm
  • Implement the algorithm
  • Maintain the algorithm
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11
Q

What are the two ways of comparing algorithmic complexity?

A
  • Time Complexity

- Space Complexity

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12
Q

What is time complexity?

A

The amount of time an algorithm will take to run given certain inputs.

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13
Q

What is space complexity?

A

The amount of space an algorithm will require to process the given inputs.

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14
Q

What is Big-O notation?

A

A notation that expresses computing complexity as the term in a function that increases most rapidly, relative to the size of a problem.

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