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WHAT IS COMPUTER?
Computer is termed in the Oxford dictionary as "An automatic electronic apparatus for making controlling operations or calculations which are expressible in logical or numerical terms". It is a device that accepts data, processes the data according to instructions provided by the user, and at last returns the results to user and usually consists of input, output, arithmetic, logic , storage, and control units. The computer can store and control large quantities of data at very high speed.
Poor human support - Obstacle to Information System The full utility of an IS will only be realised if it is properly supported by the users. Technology is never a solution in
Describe the types of flip-flops and latches. Flip-flops are of two types as illustrated below: a. Positive edge triggered b. negative edge triggered Latches are
What is content addressable memory? The memory unit accessed by the content is known as an associative memory or content addressable memory. This type of memory is accessed con
Pipelining - computer architecture: The Pipeline Defined According to John Hayes "A pipeline processor consists of a sequence of processing circuits, called stages or
Multiple Instruction and Single Data stream (MISD) In this association, multiple processing elements are structured under the control of multiple control units. Each control un
Q. Explain IP Address Structure? Internet addresses are divided in five types of classes. Classes were designated A through E. class A address space enables a small number of n
write a program that evaluate the following arithmetic expression: ((A+B) /C) * ((D-A)+E) assign test value to the variable and display the resulting value.
Instruction Set Architecture: Instruction set architecture cycle-it is smallest unit of time in a processor. superscalar processor
Q. Selecting integerated learning experiences? It is important that we select appropriate experiences for children, more so those that are from the child's world and emerge fro
Learning Weights in Perceptrons: Furthermore details are we will look at the learning method for weights in multi-layer networks next lecture. Thus the following description o
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