case study;

The brains of humans are not the biggest compared to all other animals. The average human brain has a mass of about 1 kg. In contrast, the brain of asperm whalehas a mass of 8 kg and that of anelephanthas a mass of 5 kg. You may be tempted to think that bigger brains means smarter and that because humans are the smartest animals, we must have the biggest brains. But biology does not work that way. When an animal has a larger overall size, all of its organs must be generally bigger just to keep it alive. A sperm whale weighs 35 to 45 metric tons and stretches about 15 meters long. With so much biological tissue to take care of, the sperm whale needs a giant heart to keep blood pumping to all this tissue, giant lungs to provide oxygen to all this tissue, and a giant brain to coordinate it all. The sperm whale needs a giant brain not because it is intelligent, but because it has so much low-level functions to carry out with such a huge body.

Intelligence is instead more strongly linked to the brain sizerelative to the body size. If a large brain is housed in a small body, there is less low-level signal processing and control that the brain has to carry out. As a result, the brain can be freed up for more higher-order thinking. But even this picture is over-simplified. Intelligence seems to depend on many things: absolute brain size, relative brain size, connectivity, energy expenditure, etc. But as a rough model, relative brain size is indeed correlated to intelligence within main groups of organisms. While humans do not have the biggest brains overall, we do have thebiggest brains relative to our body sizeamong the mammals.

questions

1.derive the optimal skills and technologies that a hard ware device ought to possess to carry out the finance goals effectively

2.what role is played by the Dumb Terminal in rectifying finance software's ?

3. analyze the Touch sensitive screen inputs to fit in to the objectives of financing

4.what are the activities generated by the devices ofVoice-input devices in financing?

5.as a financing programmer ,discuss the Assembly Language (2nd Generation Languages)

6. correlate the one toone mapping with the assembly language execute for efficient financing

7.what criterion in finance programmingis achieved by the language translator's in the source code transactions?

8.anlyse the financing Software trends and issues

9.propose the pathway for the DataProcessing in amortizing the financingtransaction entries

10.give and explain an example of master file in finance and discuss how it operates