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Binary number system key terms

Study Binary number system with curriculum-aligned Key Terms resources, practice links, and exam-focused support.

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key terms

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Binary number system

AqaA LevelComputer ScienceFundamentals of data representation

Key terms

  • Unsigned binary

    A binary number system that represents only non-negative values, from 0 up to a maximum determined by the number of bits.

  • Bit

    A binary digit that can have a value of 0 or 1 and contributes a place value when it is 1.

  • Carry

    A value passed into the next column when the sum in a binary column is too large to remain in that column.

  • Partial product

    An intermediate result produced when multiplying the multiplicand by one digit of the binary multiplier, including the appropriate positional shift.

  • Two’s complement

    A binary coding scheme for representing signed integers, including negative integers, by inverting the bits of the positive value and adding 1.

  • Signed binary

    Binary representation in which bit patterns are used to represent both positive and negative integers.

  • Fixed point

    A binary representation where the binary point is placed at a fixed, specified position.

  • Mantissa

    The part of the simplified floating-point representation that contains the significant binary value; it is combined with the exponent to form the number.

  • Binary fraction

    A fractional value represented using binary digits, with each fractional position contributing a binary fraction value.

  • Rounding error

    The inaccuracy introduced when a value that cannot be represented exactly is stored as an approximation.

  • Absolute error

    The magnitude of the difference between an actual value and the value stored or processed by a computer.

  • Relative error

    The absolute error divided by the actual value, often expressed as a decimal or percentage.

  • Fixed point

    A number representation with a binary point at a fixed position, giving a predetermined division between whole-number and fractional bits.

  • Floating point

    A number representation in which the binary point can move, allowing a wider range of values but potentially variable precision and slower calculations.

  • Normalisation

    The process of moving the binary point in a floating point mantissa to its required standard position and adjusting the exponent so that the value remains unchanged.

  • Mantissa

    The part of a floating point representation that contains the significant digits of the number.

  • Overflow

    The condition in which a calculation produces a value greater than the maximum value representable using the available fixed number of bits.

  • Underflow

    The condition in which a calculation produces a value less than the minimum value representable using the available fixed number of bits.

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