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Think about the five steps to writing an algorithm. Why is each step necessary? Why is it important to be precise when writing computer code? Some problems are better solved by a computer and some are better solved by humans. How do you know when a problem should be solved by a computer or by a person? There’s a scientific theory out there that says that our brain uses an algorithm to create our thoughts and it’s called the Theory of Connectivity. This theory suggests that information comes into our brains, is processed, stored, and then results in an output. Does this process sound familiar to you? In what ways do our bodies take in input and respond, sometimes without our control? Give two examples. In what ways is the human brain like a computer? In what ways is it different?

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Answer:

All steps in writing an algorithm are important because the output of each step is the input of the next. Computers are more useful for solving problems that deal with large data and require speed. The theory of connectivity is similar to data processing in computer systems. The human nose involuntarily inhales oxygen during respiration and exhales carbon dioxide and the ear picks sound waves and forwards it to the brain for decoding.

Explanation:

The computer system is a device, electronically built to accept, process and output information. The entirety of the computer system (input, output, storage and processing unit) can be compared to the human brain based on the concept of the theory of connectivity. The human nose and ears are two sensory organs that serve as an input to the brain as they unconsciously receive environmental data (external stimulus) and forward it to the brain.

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