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Q&A Is it redundant to repeat a subject when it's been implied in a college essay?

Leave it in. I am a former professor. In academics "different fields" is ambiguous, and has been used to indicate entire other fields of study: Like perhaps electrical engineering and circuit desi...

posted 7y ago by Amadeus‭  ·  last activity 5y ago by System‭

Answer
#4: Attribution notice removed by user avatar System‭ · 2019-12-19T22:13:12Z (almost 5 years ago)
Source: https://writers.stackexchange.com/a/33157
License name: CC BY-SA 3.0
License URL: https://creativecommons.org/licenses/by-sa/3.0/
#3: Attribution notice added by user avatar System‭ · 2019-12-08T07:19:47Z (almost 5 years ago)
Source: https://writers.stackexchange.com/a/33157
License name: CC BY-SA 3.0
License URL: https://creativecommons.org/licenses/by-sa/3.0/
#2: Initial revision by (deleted user) · 2019-12-08T07:19:47Z (almost 5 years ago)
## Leave it in.

I am a former professor. In academics "different fields" is ambiguous, and has been used to indicate entire other fields of study: Like perhaps electrical engineering and circuit design, closely related to "computing machinery", but not "computer science" which is typically a theoretical approach uninvolved in the electronics, studying compilers, algorithms, theoretical architectural ideas (like Tomasulo's Algorithm, caches and virtual memory and minimizing paging or [address] translation lookaside buffer delays). It can get **close** to the hardware without designing circuits, considering logic gate arrangements and cycle counts (as we must to learn how basic arithmetic is accomplished and sometimes how the instruction decoding pipeline is built, which is constantly being tweaked for on nearly every processor revision or new design).

It is better to qualify "different fields" as specifically computer science fields. It is quite common for researchers to be advised to consider how problems were solved in "different fields", like engineering, biology, chemistry or evolution: In fact, the entire field of AI using "Genetic Algorithms" is inspired by Darwinian Evolution.

Keep your qualifier.

#1: Imported from external source by user avatar System‭ · 2018-02-10T14:58:21Z (almost 7 years ago)
Original score: 1