Universities should require every student to take a variety of courses outside the student s field of study

Essay topics:

Universities should require every student to take a variety of courses outside the student's field of study.

The author infers that universities should mandate every student to take a variety of courses including not only the student's major but also other field of study. Students have to concentrate on developing their knowledge of particular majors and requiring to take variety course may actually can hinder their focus to their major. However, every subject is dependent on other subject and therefore studying other course will be benefit to understanding the student's core field. What is more, nowadays society requires knowledge in multitude area of study. Therefore universities should demand every student to follow a balanced curriculum which includes variety of courses but does not block students concentrating their core study.

I admit that students should have deep knowledge in their knowledge to become an expert of one field. There are many examples who had profound knowledge on his/her major and succeed by applying these knowledge. For example, Bill Gates who was leader of Microsoft was brilliant at computer science. He had hacked into his high school's main computer and made a significant paper about algorithm solving 'pancake sorting problem'. As we all know, he had established Microsoft based on his great skill of computer science and made huge success. Without Bill Gates, there are too many people who made great performance by focusing on their majors and having superior knowledge and skills.

However, requiring to take courses in diverse fields does not always hinder student's concentration on his/her major fields. What is more it can help students have a deeper understand in their core study. There is no field which is independent of all other fields. Every field is dependent to at least one other field. For instance, algorithm which is core subject in Computer Science requires demanding mathematics knowledge. When deciding which one is faster and efficient between many algorithms, we need to calculate and evaluate their performance based on mathematics knowledge. Likewise, artificial intelligence which is also core subject in Computer Science also requires students to have deep understanding in statistics and probability theorem. Without those examples, there are myriad examples of subjects which need other field's knowledge to have thorough understand.

Finally, we should consider that society requires knowledge in multitude fields currently. Nowadays not knowledge in simple field but intuition acquired by uniting diverse fields is essential to success. For example, let us consider Steve Jobs who was leader of Apple. After he dropped out from Reed College he took diverse courses and finally developed his unique product philosophy: convergent product. IPhone is a product which reflects his philosophy well. It converges internet, phone, music listener and email and it makes huge success. Likewise Elon Musk, leader of Tesla, also can success by studying not only his major: business but also applying knowledge of physics and material engineering.

Examples of benefit that taking a variety of courses can provide have been presented to strengthen reasons of my agreement to claim. If the fact that universities can provide students a balanced curriculum which does not burden students and forestall their concentration of their major fields is provided, I agree the view that universities should require every students to take diverse courses including outside their field of study.

Votes
Average: 6.2 (1 vote)
Essay Categories

Comments

Grammar and spelling errors:
Line 1, column 258, Rule ID: ALLOW_TO[1]
Message: Did you mean 'taking'? Or maybe you should add a pronoun? In active voice, 'require' + 'to' takes an object, usually a pronoun.
Suggestion: taking
...edge of particular majors and requiring to take variety course may actually can hinder ...
^^^^^^^
Line 1, column 558, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Therefore,
...s knowledge in multitude area of study. Therefore universities should demand every studen...
^^^^^^^^^
Line 3, column 195, Rule ID: THIS_NNS[2]
Message: Did you mean 'this knowledge' or 'these knowledges'?
Suggestion: this knowledge; these knowledges
...n his/her major and succeed by applying these knowledge. For example, Bill Gates who was leader...
^^^^^^^^^^^^^^^
Line 5, column 20, Rule ID: ALLOW_TO[1]
Message: Did you mean 'taking'? Or maybe you should add a pronoun? In active voice, 'require' + 'to' takes an object, usually a pronoun.
Suggestion: taking
...ledge and skills. However, requiring to take courses in diverse fields does not alwa...
^^^^^^^
Line 5, column 77, Rule ID: POSSESIVE_APOSTROPHE[1]
Message: Possible typo: apostrophe is missing. Did you mean 'students'' or 'student's'?
Suggestion: students'; student's
...n diverse fields does not always hinder students concentration on his/her major fields. ...
^^^^^^^^
Line 5, column 384, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
Suggestion:
...hich is core subject in Computer Science requires demanding mathematics knowledge...
^^
Line 5, column 633, Rule ID: BEEN_PART_AGREEMENT[2]
Message: Consider using a past participle here: 'cored'.
Suggestion: cored
..., artificial intelligence which is also core subject in Computer Science also requir...
^^^^
Line 7, column 544, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Likewise,
...er and email and it makes huge success. Likewise Elon Musk, leader of Tesla, also can su...
^^^^^^^^

Transition Words or Phrases used:
actually, also, but, finally, however, if, likewise, may, so, then, therefore, well, at least, for example, for instance, of course, what is more

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments

Performance on Part of Speech:
To be verbs : 20.0 19.5258426966 102% => OK
Auxiliary verbs: 14.0 12.4196629213 113% => OK
Conjunction : 19.0 14.8657303371 128% => OK
Relative clauses : 19.0 11.3162921348 168% => OK
Pronoun: 42.0 33.0505617978 127% => Less pronouns wanted
Preposition: 65.0 58.6224719101 111% => OK
Nominalization: 12.0 12.9106741573 93% => OK

Performance on vocabulary words:
No of characters: 2916.0 2235.4752809 130% => OK
No of words: 532.0 442.535393258 120% => OK
Chars per words: 5.48120300752 5.05705443957 108% => OK
Fourth root words length: 4.80261649409 4.55969084622 105% => OK
Word Length SD: 2.73095914026 2.79657885939 98% => OK
Unique words: 241.0 215.323595506 112% => OK
Unique words percentage: 0.453007518797 0.4932671777 92% => More unique words wanted or less content wanted.
syllable_count: 910.8 704.065955056 129% => OK
avg_syllables_per_word: 1.7 1.59117977528 107% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 7.0 6.24550561798 112% => OK
Article: 1.0 4.99550561798 20% => OK
Subordination: 4.0 3.10617977528 129% => OK
Conjunction: 0.0 1.77640449438 0% => OK
Preposition: 3.0 4.38483146067 68% => OK

Performance on sentences:
How many sentences: 28.0 20.2370786517 138% => OK
Sentence length: 19.0 23.0359550562 82% => The Avg. Sentence Length is relatively short.
Sentence length SD: 50.0602060992 60.3974514979 83% => OK
Chars per sentence: 104.142857143 118.986275619 88% => OK
Words per sentence: 19.0 23.4991977007 81% => OK
Discourse Markers: 5.17857142857 5.21951772744 99% => OK
Paragraphs: 5.0 4.97078651685 101% => OK
Language errors: 8.0 7.80617977528 102% => OK
Sentences with positive sentiment : 16.0 10.2758426966 156% => OK
Sentences with negative sentiment : 3.0 5.13820224719 58% => More negative sentences wanted.
Sentences with neutral sentiment: 9.0 4.83258426966 186% => OK
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.406138994 0.243740707755 167% => OK
Sentence topic coherence: 0.110536428186 0.0831039109588 133% => OK
Sentence topic coherence SD: 0.137112077497 0.0758088955206 181% => OK
Paragraph topic coherence: 0.263540609741 0.150359130593 175% => OK
Paragraph topic coherence SD: 0.186734014998 0.0667264976115 280% => More connections among paragraphs wanted.

Essay readability:
automated_readability_index: 13.9 14.1392134831 98% => OK
flesch_reading_ease: 43.73 48.8420337079 90% => OK
smog_index: 3.1 7.92365168539 39% => Smog_index is low.
flesch_kincaid_grade: 11.9 12.1743820225 98% => OK
coleman_liau_index: 14.5 12.1639044944 119% => OK
dale_chall_readability_score: 8.56 8.38706741573 102% => OK
difficult_words: 134.0 100.480337079 133% => OK
linsear_write_formula: 11.0 11.8971910112 92% => OK
gunning_fog: 9.6 11.2143820225 86% => OK
text_standard: 11.0 11.7820224719 93% => OK
What are above readability scores?

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Rates: 62.5 out of 100
Scores by essay e-grader: 3.75 Out of 6
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.