Fundamentals of Data Representation Flashcards

(47 cards)

1
Q

Integer Numbers

A

Set of whole numbers, including positive and negative and zero

Z

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2
Q

Rational Numbers

A

Set of integer numbers but can contain fractional parts

Q

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3
Q

Irrational Number

A

Numbers which cannot be written as an exact fraction

No Symbol

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4
Q

Real Numbers

A

All possible real world quantities

R

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5
Q

Ordinal Numbers

A

Describe the numerical position of an object in relation to others

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6
Q

Kibibyte in Bytes

A

2^10

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7
Q

Mebibyte in Bytes

A

2^20

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8
Q

Gibibyte in Bytes

A

2^30

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9
Q

Tebibyte in Bytes

A

2^40

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10
Q

Kilobyte in Bytes

A

10^3

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11
Q

Megabyte in Bytes

A

10^6

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12
Q

Gigabyte in Bytes

A

10^9

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13
Q

Terabyte in Bytes

A

10^12

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14
Q

Unsigned Binary Numbers

A

Only represent positive numbers

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15
Q

Signed Binary Numbers

A

Allow for the representation of negative numbers

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16
Q

Absolute Error with Equation

A

Actual amount by which a value is inaccurate

Difference between the values

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17
Q

Relative Error with Equation

A

The measure of uncertainty between a given value compared to the actual value relative to the size of the given value

Relative Error = Absolute Error / Actual Value

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18
Q

Underflow Error

A

When numbers are too small to be represented with bits available

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19
Q

Overflow Error

A

When numbers are too large to be represented with bits available

20
Q

ASCII

A

Character set which can represent alphanumeric characters or symbols as a set of 8 bits (128 different characters)

21
Q

Unicode

A

Character set which includes more characters and symbols than ASCII as a set of 8 bits

22
Q

Parity Bit

A

Single bit which is added to a transmission of data in order to check for errors. Even and odd parity (Counts number of 1s)

23
Q

Majority Voting

A

Error checking technique where each bit of the data is transmitted multiple times where the most occurring value is taken, can check and correct the error

24
Q

Checksums

A

Error checking technique where a piece of data is added to the block of data in order to enable error detection

25
Check Digit
Type of checksum where a single digit is added to the transmission
26
Bitmap Graphics
Images are broken down into many pixels which are each assigned a binary value
27
Resolution
The number of pixels in an image
28
Colour Depth
Number of bits assigned to each pixel which can determine colours available
29
Metadata
Data which is related to the image file itself, like width, height and colour depth
30
Vector Graphics
Way of representing images using geometric shapes and objects
31
Properties of Vector Graphics
Fill colour, fill style, line colour, dimensions...
32
Vector Graphics Vs Bitmapped Graphics
Vector Graphics can be scaled without losing quality. Vector Graphics are better for simple images like logos but are not useful for photographs. Vector Graphics often use less storage space.
33
Sampling Rate
Number of samples per second (Hz)
34
Sample Resolution
Number of bits given to each sample
35
Size of a Sound Sample (Equation)
Duration of sample (sec) x Sampling Rate (Hz) x Sampling Resolution
36
The Nyquist Theorem
The sampling rate of an audio file must be at least twice the frequency of the sound
37
Musical Instrument Digital Interface (MIDI) with examples
Used with electronic musical instruments which stores sound as a sequence of event messages (instructions) Duration of note Type of instrument Volume of note
38
Advantages and Disadvantages of MIDI
Music can be manipulated easily without the loss of quality, note sounds can be altered and they are often smaller in size. But, they are not good at storing speech so can sound less realistic
39
Lossy Compression
Type of data compression where some data is lost, like reducing the sample resolution or image resolution
40
Lossless Compression
Type of data compression where no data is lost so can be reduced without decreasing the quality like run-length encoding and dictionary based methods
41
Run Length Encoding (RLE)
Reduces the size of file by removing repeated information by replacing it with one occurrence of value and by how much it is repeated
42
Encyption
The process of scrambling data so it cannot be understood if intercepted
43
Caesar Cipher (2 types)
Type of Cipher where data is encrypted by replacing each character by the same key Shift Cipher Substitution Cipher
44
Shift Cipher
Type of Caesar Cipher where all characters in the alphabet are shifted by the same amount (Key)
45
Substitution Cipher
Type of Caesar Cipher where all characters are randomly replaced
46
Disadvantages of Caesar Cipher
Can be cracked easily as frequency that characters occur could provide a clue. When one character is discovered in a shift cipher, all characters are found, but substitution are a little harder to crack
47
Vernam Cipher
Type of cipher where each key is only used once for each character in the plaintext. Uses the binary value of character and key and applies a XOR operation in order to get the ciphertext.