Computer science writing assignment

profilegotham97
questions2.docx

Q1.

Write a 3-5 page paper discussing algorithm design as it relates to time complexity problems like reducing fractions without using the euclidean algorithm for GCD vs using the euclidean algorithm for GCD. When initially solving a problem, how might one detect that a solution needs extra attention with respect to an efficient algorithm vs standard solutions where a highly efficient solution may be indistinguishable from an inefficient one?  Specifically discuss the potential tradeoff between an easy to understand inefficient solution vs a difficult to follow efficient solution. Is it always better to write optimal code if the end result is difficult to follow by future programmers who may maintain your code?

Q2.

Write a 3-5 page paper discussing the role of computer programming in the IT industry. It is widely believed that Computer Science is programming and IT is not. This couldn't be further from the truth. Programming is to a Computer Scientist and an IT Professional as a hammer is to a carpenter. It is a tool we use to solve problems. Computer Science is 75% creation and 25% application of created technology.

IT is 25% creation and 75% application of created technology.

What types of problems might an IT professional solving using computer programming as a tool?

When is it preferable to create a custom software solution rather than a pre-made solution?

Q1

.

Write a 3

-

5 page paper discussing algorithm design as it relates to time complexity problems like reducing

fractions without using the euclidean algorithm for GCD vs using the euclidean

algorithm for GCD. When

initially solving a problem, how might one detect that a solution needs extra attention with respect to an

efficient algorithm vs standard solutions where a highly efficient solution may be indistinguishable from an

inefficient one

?

Specifically discuss the potential tradeoff between an easy to understand inefficient

solution vs a difficult to follow efficient solution. Is it always better to write optimal code if the end result is

difficult to follow by future programmers who may

maintain your code?

Q2

.

Write a 3

-

5 page paper discussing the role of computer programming in the IT industry.

It is widely believed that Computer Science is programming and IT is not. This couldn't

be further from the truth. Programming is to a Computer S

cientist and an IT

Professional as a hammer is to a carpenter. It is a tool we use to solve problems.

Computer Science is 75% creation and 25% application of created technology.

IT is 25% creation and 75% application of created technology.

What types of p

roblems might an IT professional solving using computer programming

as a tool?

When is it preferable to create a custom software solution rather than a pre

-

made

solution?

Q1.

Write a 3-5 page paper discussing algorithm design as it relates to time complexity problems like reducing

fractions without using the euclidean algorithm for GCD vs using the euclidean algorithm for GCD. When

initially solving a problem, how might one detect that a solution needs extra attention with respect to an

efficient algorithm vs standard solutions where a highly efficient solution may be indistinguishable from an

inefficient one? Specifically discuss the potential tradeoff between an easy to understand inefficient

solution vs a difficult to follow efficient solution. Is it always better to write optimal code if the end result is

difficult to follow by future programmers who may maintain your code?

Q2.

Write a 3-5 page paper discussing the role of computer programming in the IT industry.

It is widely believed that Computer Science is programming and IT is not. This couldn't

be further from the truth. Programming is to a Computer Scientist and an IT

Professional as a hammer is to a carpenter. It is a tool we use to solve problems.

Computer Science is 75% creation and 25% application of created technology.

IT is 25% creation and 75% application of created technology.

What types of problems might an IT professional solving using computer programming

as a tool?

When is it preferable to create a custom software solution rather than a pre-made

solution?