Computer Science

    Computer Science Fundamentals
    What is the 1’s complement of 11010?
    The 1’s complement of a number is obtained by converting all the 0 bits to 1 and all 1’s to 0’s. Here, 11010 gets converted to 00101.
    Computer Science Fundamentals
    A program created by Farmer and Venema for auditing capability.
    SATAN is the Security analysis tool for auditing networks. It is created by farmer and venema.
    Computer Science Fundamentals
    Perfrom BCD addition: 2+3= _______________
    BCD of 2 =0010
    Computer Science Fundamentals
    In the instruction ADD A, B, the answer gets stored in ___________
    In any instruction of the form ADD A, B; the answer gets stored in the A register. The format is: ADD Destination, Source.
    Computer Science Fundamentals
    The base is the total number of digits in a number system.
    The statement is true. In a positional number system, base is the number of digits the system comprises. For example, a binary number system comprises of only 2 digits, 0 and 1, therefore its base is 2. Similarly, the decimal system comprises 10 digits 0 to 9, therefore its base is 10.
    Computer Science Fundamentals
    The 1’s complement of 1111111110.101 is _______________
    The 1’s complement of a number is obtained by reversing the bits with value 1 to 0 and the bits with value 0 to 1. Here, 11111111110.101 gets converted to 000000001.010 in its 1’s complement format.
    Computer Science Fundamentals
    The max term when X=Y=Z=1 is ________
    The max term consists of variables forming an OR term. Here, when X=Y=Z=1, the expression is x’+y’+z’.
    Computer Science Fundamentals
    Convert (22)8 into its corresponding decimal number.
    To convert an octal number to decimal number:
    Computer Science Fundamentals
    The result that is smaller than the smallest number obtained is referred to as ___________
    It is referred to as underflow. Nan stands for not a number. The mantissa is the part after the decimal.
    Computer Science Fundamentals
    This characteristic often draws the line between what is feasible and what is impossible.
    Algorithms help us to understand scalability. Performance often draws the line between what is feasible and what is impossible.