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2학기 2차 지필고사 모의고사 학습지

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2학기 2차 지필고사 모의고사 학습지

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2학기 2차 모의고사 지문

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2020학년도 고2 9월 모의고사 (google.com)

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Google Forms - create and analyze surveys, for free.

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Lesson 5. How Far Will Technology Go? (google.com)

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Google Forms - create and analyze surveys, for free.

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1. 할애하다
예문: I can't spare time to study another subjects because I have to study English real hard.
2. 모면하게 되다
예문: I would like to spare any troubles with english test
3. 아끼다.
예문: I sleep less these days to spare time for english study

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1. I can't spare enough time to care 이수민

나는 이수민을 신경 쓸 시간이 없다.
spare: 할애하다

2. I wanted her to spare unhappiness such as marriage with someone who did plastic surgery.

나는 그녀가 성형수술을 한 사람과 결혼을 하는 것과 같이 불행한 일을 모면하기 원한다.
spare: 불쾌한 일을 모면하게하다

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Debating Big Data

1. What are the issues that need careful deliberation?

2. One of the biggest concerns is whether past data can be used to predict future events or not.

3. The results of Big Data analysis means that some people can be denied for health insurance benefits because of their family’s genetic (     ), or others can be on the monitoring list because their past behaviors show the potential crimes in the future.

4. History tells a story, but the future is always unknown.

5. Another concern is whether a data collector or data provider has a right to own the data.

6. For example, many companies sell their customers’ private information for commercial purposes.

7. Both the buyer and seller get the financial benefits, but the customers who provide the information are abandoned.

8. Like other resources, using it wisely is beneficial, but using is carelessly can lead to unexpected results.

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good: 선 goods: 상품
manner: 매너 manners: 예의
pain: 아픔 pains: 수고
paper: 종이 papers: 서류
mean: 중용 means: 수단

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Two Sides of a Coin

1. It is undoubtful that big data will continue to be an important part of human society.

2. Data-based prediction will replace a simple prediction by arming people with the technology to figure out hidden patterns, unanticipated correlations, global trends, and other meaningful information that can hopefully lead to information-based decisions.

3. Some argue that it will reshape our life fundamentally.

4. However, it should be noted that big data is the resource that could be used for good or ill, and no matter what it is, using it could cause unintended results.

5. The ultimate result might tell a different story, depending on what data you examine, how you interpret it, and what purpose you have.

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1.More complex analyese of Big data will be changing the way health is evaluated and medical practice is done in the future.

2. Biomedical medicine is already so data-based that biologists and doctors are used to collecting, analyzing, and interpreting vast data with the help of supercomputers

3. The human genome project is a perfect example.

4. It took 13 years to finish the first genome sequence of a person which consists six billlion genome pairs

5. nowadays, it takes only 24 hours to figure out a person's genome, and it demonstrates the big impact that data analysis technology did on the field.

6. Biomedical scientists are still trying to figure out what each gene in the arrangement does and how they affect our health.

7. They are postive that genome data analysis will renew our understanding of health and disease that we can't imagine

8. Biological variety on individuals has made a move big data to really big data important.

9. Each person is unique in terms of diet, environemnt, habits , and the relationships they are having

11. None of individuals have the same combination of coli, and they may adapt and change over time.

12.The enormous number of combinations can be researched by using data analysis

13. Soon, medical researches are hoping to understand how an individual's biological enviorment interacts with different micro organism in order to create customized health treatments.

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Big Data in Medicine

1. More complex analysis of data will be changing the way health is assessed and the medical treatment is held.

2. Biomedics is already so data-based that biologists and doctors are accustomed to collect, analyze, and interpret a number of data sets with the help of a supercomputer.

3. Human genome project is a case in point.

4. It took 13 years to complete a man’s first full genetic arrangement that is consist of 60B (         ) .

5.  Today, it only takes 24h to show a man’s genetic arrangement sequence, which demonstrates a massive impact that data analysis had on that field.

6. Biologists are still working hard to figure out what each gene does in the arrangement and how they interact to affect our health.

7. They are optimistic that genomic data analysis will revolutionize our understanding of health and disease on an unimaginable scale.

8. Biological variety in an individual aspect has required a move from big data to ‘the real’ big data.

9. Individuals are special in terms of diet, environment, habits, and the relationships they have.

10.  To be more complex, hundreds of trillions of tiny bacteria live in human’s intestinal tract, some of which are useful for maintaining overall health, while others like H~ can cause other diseases like (       ).

11. No individual has the same combination of gut bacteria, and bacterias can adapt and modify as time flies.

12. The combination of enormous numbers can only be studied by using big data analysis.

13. Soon, medical researchers hope to understand how an individual’s biological environment interacts with different microbes in order to create customized medical treatments.

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1. Seoul and satellite cities in Seoul are home to more than 25 millions people who are often forced to take costly taxis at late night that buses and subways no longer run.

2. When city officials decided to offer the new late-night bus service to commuters, they should find the most frequent route and the most crowded place by commuters to accomodate as many people as possible.

시간이 없어서 여기까지만 할게요ㅜㅜ

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economic: 경제의
economical: 경제적인, 실속 있는 (알뜰한)

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Big Data in education

1. For the next 10 years, Big Data will be replacing traditional coaching systems in education.

2. In fact, data analysis has already been used to predict probabilities of success or failure of certain students in some universities.

3. Data analysts have observed hundreds of thousands of individual academic student records to predict the period when intervention is needed.

4. Certain behaviors, such as how often students see advisers and personal teachers or whether they take a class with the wrong sequence, seem to be informative.

5. Some universities found that in the process of ‘Predictor’, the performance of students is often a good indicator of whether they will graduate or not.

6. Based on this Big Data analysis, many universities maintain a class list that could signal the need for intervention.

7. If a student leaves the path of successful students in the past, advisers can be alerted so that they can contact and coach the student.

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Big Data for the public benefit

1. Seoul and satellite cities of Seoul are home for more than 25M people who are forced to ride expensive taxies at late night when buses and subways are not available.

2.  When public officers of the city decided to provide a new late night bus service to commuters, they had to figure out the most used routes and (       ) to accommodate as many people as possible.

3. With the help of Big Data analytics, the public officer examined 5M records of late night taxi rides and 30B records of late night phone calls and discovered that taxi rides and text messages are suddenly increased at certain places and times.

4. Based on this information, they settled on several late night routes and schedules in order to provide bus services to as many people as possible.

5. This is how Seoul Owl Bus was born.

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economic : 경제의 ( 큰 의미의 경제 )
economical : 경제적인, 실속 있는
( 절약하거나 알뜰하다는 의미 )

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economical > 경제적인 (절약하는, 알뜰한, 실속 있는)
economic > 경제적의 (경제 위기, 경제 성장처럼 큰 의미의 경제)

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+ economic: 경제의
economical: 경제적인(절약의 의미)

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economic: 경제성이 있는
economical: 경제적으로 실속 있는 (더 구체적인 의미)

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economic : 경제의
economical: 경제적인( 낭비하지 않는)

economical이 더 광범위함

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Big Data in education

1. For the next decade, Big data will be replacing traditional academic guidance method.

2. In fact, in some universities, data analysis has already been used to predict the future success or failure of particular students.

3. Data analysts looked inside hundreds of thousands of personal academic recrods in order to predict when intervention is needed.

4.Certain behaviors such as how often students see advisers or if they take a class mistakenly (?)seem to be informative.

5. Some universities found that students' performances in 'predictable variable course' are often a good indicator if they will graduate.

6.Based on this big data, many universities maintain a class list that can signify the intervention ( 이렇게 해도 괜찮을까요?)

7. If a student leaves the path of succulence students in the past, advisder can be alerted so they can teach the student.