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Vocabulary flashcards covering Cambridge 9618 AS Computer Science course structure and Unit 1 number representation concepts including denary, binary, and hexadecimal number systems and conversion techniques.
Denary (Base 10)
A numbering system that utilizes the digits 0 through 9, with column place values increasing as powers of ten (×10n).
Binary (Base 2)
A numbering system that uses only two digits, 0 and 1, with column place values increasing as powers of two (×2n).
Hexadecimal (Base 16)
A numbering system that utilizes sixteen symbols consisting of digits 0 through 9 followed by letters A through F, with column place values increasing as powers of sixteen (×16n).
Nibble
A data unit consisting of exactly 4 binary bits, which directly represents one hexadecimal digit.
Subscript (in Number Systems)
A small number notation placed at the base of a numerical value to specify its base system (for example, 17310=101011012=AD16).
Place-Value Method (Denary to Binary)
A conversion process in which powers of 2 (128,64,32,16,8,4,2,1) are listed, and the largest power less than or equal to the remaining value is repeatedly subtracted, writing a 1 where it fits and a 0 elsewhere until the remainder reaches 0.
Binary to Denary Conversion
A conversion process in which place values (128,64,32,16,8,4,2,1) are written above each bit and only the values aligned with a 1 are added together.
Hexadecimal Digits A through F
The letters used in base 16 to represent two-digit denary values: A=10, B=11, C=12, D=13, E=14, and F=15.
Binary to Hexadecimal Conversion
The method of converting a binary number into hexadecimal by grouping bits into sets of 4 (nibbles) from right to left and replacing each nibble with its equivalent hexadecimal digit.
Leading Zero Padding
The technique of prefixing zeros to the leftmost end of a binary string so that its length becomes an exact multiple of 4 before splitting into nibbles.
Memory Dump
A display of computer memory contents typically shown to engineers in hexadecimal rather than binary because hexadecimal represents binary data in a much more compact and readable format.