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27.392 questões encontradas. Mostrando a página 976 de 1370.

  • 2ED790BA-AF

    Química

    Eletroquímica: Oxirredução, Potenciais Padrão de Redução, Pilha, Eletrólise e Leis de Faraday.    UECE · 2013MédioEntre para guardar nos favoritos
    DADOS QUE PODEM SER USADOS NESTA PROVA:

    ELEMENTO QUÍMICO   ÚMERO ATÔMICO     MASSA ATÔMICA
                    H                                     1                               1,0
                    C                                     6                              12,0
                    N                                     7                              14,0
                    O                                     8                              16,0
                    S                                     16                             32,0
                    F                                      9                              19,0
                    Na                                   11                              23,0
                    Al                                    13                              27,0
                    P                                     15                             31,0
                    Cl                                    17                                 35,5
                    Ca                                   20                                 40,0
                    K                                     19                                  39,0
                    Cr                                    24                                 52,0
                    Mn                                   25                                 55,0
                    Fe                                    26                                 56,0
                    Cu                                    29                                63,5
                    As                                    33                               75,04
                    Ag                                    47                               108,0
                    Cd                                    48                               112,4
                    Hg                                    80                               200,6
                    Pb                                    82                               207,2
                    Po                                    84                               209,0 
    Notícia do Portal R7 Notícias em 10/4/2013: “Em vigor desde o dia 29 de janeiro, a nova Lei Seca diz que o motorista que for parado em uma blitz de trânsito e for flagrado com 0,05 mg ou mais de álcool por litro de sangue será multado”.

    A aferição sobre a ingestão de álcool pelos motoristas é feita pelo bafômetro moderno onde é produzida uma corrente elétrica que é transformada em sinal digital. A reação que ocorre no aparelho é traduzida, de maneira simplificada, pela equação não balanceada: 

    CH3CH2OH + K2Cr2O7 + H2SO4 ➡ CH3COOH + Cr2(SO4)3 + K2SO4 + H2O 

    É correto afirmar-se que, no bafômetro moderno, 
    Escolha uma alternativa para a questão 2ed790ba-af
  • 2ED1E517-AF

    Química

    Equilíbrio Químico    UECE · 2013MédioEntre para guardar nos favoritos
    DADOS QUE PODEM SER USADOS NESTA PROVA:

    ELEMENTO QUÍMICO   ÚMERO ATÔMICO     MASSA ATÔMICA
                    H                                     1                               1,0
                    C                                     6                              12,0
                    N                                     7                              14,0
                    O                                     8                              16,0
                    S                                     16                             32,0
                    F                                      9                              19,0
                    Na                                   11                              23,0
                    Al                                    13                              27,0
                    P                                     15                             31,0
                    Cl                                    17                                 35,5
                    Ca                                   20                                 40,0
                    K                                     19                                  39,0
                    Cr                                    24                                 52,0
                    Mn                                   25                                 55,0
                    Fe                                    26                                 56,0
                    Cu                                    29                                63,5
                    As                                    33                               75,04
                    Ag                                    47                               108,0
                    Cd                                    48                               112,4
                    Hg                                    80                               200,6
                    Pb                                    82                               207,2
                    Po                                    84                               209,0 
    Quando se dissolve uma substância em água, pode acontecer a formação de uma mistura, uma ionização ou uma dissociação iônica. Verifique as colunas abaixo e faça a associação adequada.

    I. Ionização
    II. Mistura heterogênea
    III. Dissociação iônica

    1. Etanol
    2. Soda cáustica
    3. Óleo de cozinha
    4. Ácido clorídrico

    A associação correta é:
    Escolha uma alternativa para a questão 2ed1e517-af
  • 2ECE3C30-AF

    Química

    Soluções e Substâncias Inorgânicas    UECE · 2013MédioEntre para guardar nos favoritos
    DADOS QUE PODEM SER USADOS NESTA PROVA:

    ELEMENTO QUÍMICO   ÚMERO ATÔMICO     MASSA ATÔMICA
                    H                                     1                               1,0
                    C                                     6                              12,0
                    N                                     7                              14,0
                    O                                     8                              16,0
                    S                                     16                             32,0
                    F                                      9                              19,0
                    Na                                   11                              23,0
                    Al                                    13                              27,0
                    P                                     15                             31,0
                    Cl                                    17                                 35,5
                    Ca                                   20                                 40,0
                    K                                     19                                  39,0
                    Cr                                    24                                 52,0
                    Mn                                   25                                 55,0
                    Fe                                    26                                 56,0
                    Cu                                    29                                63,5
                    As                                    33                               75,04
                    Ag                                    47                               108,0
                    Cd                                    48                               112,4
                    Hg                                    80                               200,6
                    Pb                                    82                               207,2
                    Po                                    84                               209,0 
    Em seus serões, Dona Benta, personagem imortal de Monteiro Lobato (1882 – 1948) afirma que a água existe em alguns minerais, e cita o alúmen. O mais conhecido dos alumens é a pedra ume que é adstringente e antisséptico. Era usada na antiguidade como coagulante e fixador em estamparias; atualmente é utilizada em desodorantes antitranspirantes.

    Sobre alumens, pode-se afirmar corretamente que
    Escolha uma alternativa para a questão 2ece3c30-af
  • 2EB61F83-AF

    Química

    Interações Atômicas: Geometria Molecular, Polaridade da ligação e da Molécula, Forças Intermoleculares e Número de Oxidação.    UECE · 2013MédioEntre para guardar nos favoritos
    DADOS QUE PODEM SER USADOS NESTA PROVA:

    ELEMENTO QUÍMICO   ÚMERO ATÔMICO     MASSA ATÔMICA
                    H                                     1                               1,0
                    C                                     6                              12,0
                    N                                     7                              14,0
                    O                                     8                              16,0
                    S                                     16                             32,0
                    F                                      9                              19,0
                    Na                                   11                              23,0
                    Al                                    13                              27,0
                    P                                     15                             31,0
                    Cl                                    17                                 35,5
                    Ca                                   20                                 40,0
                    K                                     19                                  39,0
                    Cr                                    24                                 52,0
                    Mn                                   25                                 55,0
                    Fe                                    26                                 56,0
                    Cu                                    29                                63,5
                    As                                    33                               75,04
                    Ag                                    47                               108,0
                    Cd                                    48                               112,4
                    Hg                                    80                               200,6
                    Pb                                    82                               207,2
                    Po                                    84                               209,0 
    A amônia tem sido usada desde 1860, como agente refrigerante, menos nocivo que os CFCs; quando em solução aquosa, é conhecida como amoníaco. Sobre as propriedades e a estrutura do amoníaco, marque a afirmação verdadeira.
    Escolha uma alternativa para a questão 2eb61f83-af
  • 2EAF0861-AF

    Química

    Principais Funções Orgânicas: Hidrocarbonetos: Alcano, Alceno, Alcino, Alcadieno, Ciclos Alcano e Alceno, Aromáticos. Haletos.    UECE · 2013MédioEntre para guardar nos favoritos
    DADOS QUE PODEM SER USADOS NESTA PROVA:

    ELEMENTO QUÍMICO   ÚMERO ATÔMICO     MASSA ATÔMICA
                    H                                     1                               1,0
                    C                                     6                              12,0
                    N                                     7                              14,0
                    O                                     8                              16,0
                    S                                     16                             32,0
                    F                                      9                              19,0
                    Na                                   11                              23,0
                    Al                                    13                              27,0
                    P                                     15                             31,0
                    Cl                                    17                                 35,5
                    Ca                                   20                                 40,0
                    K                                     19                                  39,0
                    Cr                                    24                                 52,0
                    Mn                                   25                                 55,0
                    Fe                                    26                                 56,0
                    Cu                                    29                                63,5
                    As                                    33                               75,04
                    Ag                                    47                               108,0
                    Cd                                    48                               112,4
                    Hg                                    80                               200,6
                    Pb                                    82                               207,2
                    Po                                    84                               209,0 
    Ferroceno é um agente antidetonante usado em combustíveis de motores de explosão, sendo mais seguro do que o tetraetilchumbo, anteriormente usado.

    Imagem da questão de Química, UECE 2013, Principais Funções Orgânicas: Hidrocarbonetos: Alcano, Alceno, Alcino, Alcadieno, Ciclos Alcano e Alceno, Aromáticos. Haletos.

    Assinale a alternativa que associa corretamente a classe a que o ferroceno pertence com o nome do anel ligado ao ferro.
    Escolha uma alternativa para a questão 2eaf0861-af
  • 2EA2B1CC-AF

    Química

    Glicídios, Lipídios, Aminoácidos e Proteínas.    UECE · 2013MédioEntre para guardar nos favoritos
    DADOS QUE PODEM SER USADOS NESTA PROVA:

    ELEMENTO QUÍMICO   ÚMERO ATÔMICO     MASSA ATÔMICA
                    H                                     1                               1,0
                    C                                     6                              12,0
                    N                                     7                              14,0
                    O                                     8                              16,0
                    S                                     16                             32,0
                    F                                      9                              19,0
                    Na                                   11                              23,0
                    Al                                    13                              27,0
                    P                                     15                             31,0
                    Cl                                    17                                 35,5
                    Ca                                   20                                 40,0
                    K                                     19                                  39,0
                    Cr                                    24                                 52,0
                    Mn                                   25                                 55,0
                    Fe                                    26                                 56,0
                    Cu                                    29                                63,5
                    As                                    33                               75,04
                    Ag                                    47                               108,0
                    Cd                                    48                               112,4
                    Hg                                    80                               200,6
                    Pb                                    82                               207,2
                    Po                                    84                               209,0 
    Atente para a letra da música composta por Chico Buarque de Holanda e Milton Nascimento.

    Cio da Terra
    Debulhar o trigo.
    Recolher cada bago do trigo.
    Forjar no trigo o milagre do pão.
    É se fartar de pão.
    Decepar a cana.
    Recolher a garapa da cana.
    Roubar da cana a doçura do mel.
    Se lambuzar de mel.
    Afagar a terra.
    Conhecer os desejos da terra.
    Cio da terra, a propícia estação.
    É fecundar o chão.

    Observe a associação feita entre alguns itens da letra da música e a Química, e assinale a afirmação verdadeira.
    Escolha uma alternativa para a questão 2ea2b1cc-af
  • 2E9FD5E8-AF

    Química

    Grandezas: massa, volume, mol, massa molar, constante de Avogadro e Estequiometria.    UECE · 2013MédioEntre para guardar nos favoritos
    DADOS QUE PODEM SER USADOS NESTA PROVA:

    ELEMENTO QUÍMICO   ÚMERO ATÔMICO     MASSA ATÔMICA
                    H                                     1                               1,0
                    C                                     6                              12,0
                    N                                     7                              14,0
                    O                                     8                              16,0
                    S                                     16                             32,0
                    F                                      9                              19,0
                    Na                                   11                              23,0
                    Al                                    13                              27,0
                    P                                     15                             31,0
                    Cl                                    17                                 35,5
                    Ca                                   20                                 40,0
                    K                                     19                                  39,0
                    Cr                                    24                                 52,0
                    Mn                                   25                                 55,0
                    Fe                                    26                                 56,0
                    Cu                                    29                                63,5
                    As                                    33                               75,04
                    Ag                                    47                               108,0
                    Cd                                    48                               112,4
                    Hg                                    80                               200,6
                    Pb                                    82                               207,2
                    Po                                    84                               209,0 
    Em 2012, a emissão de gás carbônico (CO2) na atmosfera foi muito elevada, atingindo a concentração de 392 ppm (partes por milhão − medida de concentração das soluções), o que causou enormes prejuízos para o meio ambiente e, por consequência, para a humanidade. Considerando a quantidade do ar atmosférico de 100 trilhões de toneladas nesse ano, a emissão de CO2, em bilhões de toneladas, foi
    Escolha uma alternativa para a questão 2e9fd5e8-af
  • 2E979E2E-AF

    Física

    Cinemática    UECE · 2013MédioEntre para guardar nos favoritos
    Recentemente se teve notícia de um tornado que causou grande destruição na cidade de Oklahoma – EUA. Suponha que, próximo à superfície da Terra, o tornado possa ser descrito como uma massa de ar cilíndrica girando em torno de seu eixo com velocidade angular constante. Há estimativas que apontam, nessa ocorrência nos EUA, para ventos com velocidades em torno de 300 km/h na parte mais externa do tornado. Supondo-se que o diâmetro do tornado seja de 1,5 km e, com base nos dados anteriores, a melhor estimativa para a velocidade angular do tornado é
    Escolha uma alternativa para a questão 2e979e2e-af
  • 2E94863B-AF

    Física

    Circuitos Elétricos e Leis de Kirchhoff    UECE · 2013MédioEntre para guardar nos favoritos
    Considere duas lâmpadas: uma lâmpada incandescente com consumo de 20 W, vida útil de 1.000 horas e rendimento (fração energética efetivamente transformada em luz) de 25%; e uma segunda, do tipo fluorescente, com vida útil de 7.500 horas e rendimento de 60%. Considere um experimento em que as duas lâmpadas são ligadas em paralelo a uma tomada de energia elétrica residencial, permanecendo ligadas durante suas vidas úteis. Qual deve ser a potência, em Watts, consumida pela fluorescente para que perca energia em forma de calor tanto quanto a incandescente durante o período do experimento?
    Escolha uma alternativa para a questão 2e94863b-af
  • 2E892FCD-AF

    Física

    Eletricidade    UECE · 2013MédioEntre para guardar nos favoritos
    Dois objetos de material isolante têm massas diferentes e estão carregados eletricamente com cargas de mesmo sinal. Considere que haja somente ação das forças gravitacional e elétrica, e que os objetos estejam separados um do outro em equilíbrio estático. Denotando por k a constante eletrostática (ou de Coulomb), por G a constante gravitacional, e por r1 e r2 a razão entre a carga e a massa dos corpos 1 e 2, respectivamente, uma condição para que haja equilíbrio estático é 
    Escolha uma alternativa para a questão 2e892fcd-af
  • 2E6E5D1A-AF

    Física

    Cinemática    UECE · 2013MédioEntre para guardar nos favoritos
    Uma estrada sem curvas à esquerda ou à direita liga duas cidades no sentido Leste-Oeste. O trecho sobe e desce uma montanha de modo que, no pico, a trajetória pode ser aproximada por um arco de círculo. Em uma parte final do trajeto há um vale, e no ponto mais baixo também se pode aproximar a trajetória por um arco de círculo de mesmo raio que o anterior. No pico da montanha, o módulo da força normal da estrada sobre o carro é metade do peso do carro. No ponto mais baixo do vale essa normal tem módulo 50% maior do que o peso do carro. Despreze todos os atritos e considere a gravidade constante. Assim, a razão entre a velocidade do carro no pico e no vale é
    Escolha uma alternativa para a questão 2e6e5d1a-af
  • 2E6AC3B1-AF

    Física

    Dinâmica    UECE · 2013MédioEntre para guardar nos favoritos
    Um bloco de massa desprezível e em forma de triângulo retângulo repousa sobre uma superfície horizontal sem atrito. Sobre esse bloco, do vértice oposto à hipotenusa, duas massas puntiformes m1 e m2 partem do repouso sob a ação da gravidade e sem a presença de forças de atrito, conforme a figura a seguir. 

    Imagem da questão de Física, UECE 2013, Dinâmica

    Para que o bloco triangular não se mova durante a descida das massas m1 e m2, a razão entre m1 e m2 deve ser igual a 
    Escolha uma alternativa para a questão 2e6ac3b1-af
  • 4E585FD8-AF

    Inglês

    Análise sintática | Syntax Parsing    UECE · 2013MédioEntre para guardar nos favoritos
    TEXT
       
       HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
       The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
         In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
          Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
          Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
         Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
         “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
      Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
          Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
        With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
         Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
         Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
           Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

    From: www.nytimes.com
    The sentences “In the fall, Columbia will offer new master’s and certificate programs heavy on data.” and “Data scientists are the magicians of the Big Data era.” contain, respectively, at least one
    Escolha uma alternativa para a questão 4e585fd8-af
  • 4E53744F-AF

    Inglês

    Adjetivos | Adjectives    UECE · 2013MédioEntre para guardar nos favoritos
    TEXT
       
       HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
       The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
         In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
          Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
          Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
         Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
         “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
      Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
          Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
        With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
         Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
         Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
           Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

    From: www.nytimes.com
    In the sentences “…this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering.” and “This is a generation of kids that grew up with data science around them.”, one finds adjective clauses that are respectively
    Escolha uma alternativa para a questão 4e53744f-af
  • 4E4F465A-AF

    Inglês

    Análise sintática | Syntax Parsing    UECE · 2013MédioEntre para guardar nos favoritos
    TEXT
       
       HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
       The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
         In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
          Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
          Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
         Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
         “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
      Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
          Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
        With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
         Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
         Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
           Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

    From: www.nytimes.com
    The sentences “Many use data sets provided by businesses or government, and pass back their results.” and “Because data science is so new, universities are scrambling to define it…” contain, respectively, a
    Escolha uma alternativa para a questão 4e4f465a-af
  • 4E465728-AF

    Inglês

    Passado perfeito progressivo | Past perfect continuous    UECE · 2013MédioEntre para guardar nos favoritos
    TEXT
       
       HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
       The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
         In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
          Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
          Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
         Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
         “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
      Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
          Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
        With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
         Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
         Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
           Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

    From: www.nytimes.com
    In terms of verb tense, the sentences “Rachel Schutt, a senior research scientist at Johnson Research Labs, taught ‘Introduction to Data Science’ last semester at Columbia.”, “In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data.” and “Most master’s degree programs in data science require basic programming skills.” are, respectively, in the
    Escolha uma alternativa para a questão 4e465728-af
  • 4E3ED6ED-AF

    Inglês

    Interpretação de texto | Reading comprehension    UECE · 2013MédioEntre para guardar nos favoritos
    TEXT
       
       HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
       The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
         In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
          Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
          Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
         Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
         “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
      Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
          Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
        With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
         Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
         Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
           Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

    From: www.nytimes.com
    Considering the word shopper in the text, an example of a word with similar meaning is
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  • 4E332760-AF

    Inglês

    Interpretação de texto | Reading comprehension    UECE · 2013MédioEntre para guardar nos favoritos
    TEXT
       
       HARVARD BUSINESS REVIEW calls data science “the sexiest job in the 21st century,” and by most accounts this hot new field promises to revolutionize industries from business to government, health care to academia. 
       The field has been spawned by the enormous amounts of data that modern technologies create — be it the online behavior of Facebook users, tissue samples of cancer patients, purchasing habits of grocery shoppers or crime statistics of cities. Data scientists are the magicians of the Big Data era. They crunch the data, use mathematical models to analyze it and create narratives or visualizations to explain it, then suggest how to use the information to make decisions. 
         In the last few years, dozens of programs under a variety of names have sprung up in response to the excitement about Big Data, not to mention the six-figure salaries for some recent graduates. In the fall, Columbia will offer new master’s and certificate programs heavy on data. The University of San Francisco will soon graduate its charter class of students with a master’s in analytics.
          Rachel Schutt, a senior research scientist at Johnson Research Labs, taught “Introduction to Data Science” last semester at Columbia (its first course with “data science” in the title). She described the data scientist this way: “a hybrid computer scientist software engineer statistician.” And added: “The best tend to be really curious people, thinkers who ask good questions and are O.K. dealing with unstructured situations and trying to find structure in them.”
          Eurry Kim, a 30-year-old “wannabe data scientist,” is studying at Columbia for a master’s in quantitative methods in the social sciences and plans to use her degree for government service. She discovered the possibilities while working as a corporate tax analyst at the Internal Revenue Service. She might, for example, analyze tax return data to develop algorithms that flag fraudulent filings, or cull national security databases to spot suspicious activity.
         Some of her classmates are hoping to apply their skills to e-commerce, where data about users’ browsing history is gold.
         “This is a generation of kids that grew up with data science around them — Netflix telling them what movies they should watch, Amazon telling them what books they should read — so this is an academic interest with real-world applications,” said Chris Wiggins, a professor of applied mathematics at Columbia who is involved in its new Institute for Data Sciences and Engineering. “And,” he added, “they know it will make them employable.”
      Universities can hardly turn out data scientists fast enough. To meet demand from employers, the United States will need to increase the number of graduates with skills handling large amounts of data by as much as 60 percent, according to a report by McKinsey Global Institute. There will be almost half a million jobs in five years, and a shortage of up to 190,000 qualified data scientists, plus a need for 1.5 million executives and support staff who have an understanding of data.
          Because data science is so new, universities are scrambling to define it and develop curriculums. As an academic field, it cuts across disciplines, with courses in statistics, analytics, computer science and math, coupled with the specialty a student wants to analyze, from patterns in marine life to historical texts.
        With the sheer volume, variety and speed of data today, as well as developing technologies, programs are more than a repackaging of existing courses. “Data science is emerging as an academic discipline, defined not by a mere amalgamation of interdisciplinary fields but as a body of knowledge, a set of professional practices, a professional organization and a set of ethical responsibilities,” said Christopher Starr, chairman of the computer science department at the College of Charleston, one of a few institutions offering data science at the undergraduate level.
         Most master’s degree programs in data science require basic programming skills. They start with what Ms. Schutt describes as the “boring” part — scraping and cleaning raw data and “getting it into a nice table where you can actually analyze it.” Many use data sets provided by businesses or government, and pass back their results. Some host competitions to see which student can come up with the best solution to a company’s problem.
         Studying a Web user’s data has privacy implications. Using data to decide someone’s eligibility for a line of credit or health insurance, or even recommending who they friend on Facebook, can affect their lives. “We’re building these models that have impact on human life,” Ms. Schutt said. “How can we do that carefully?” Ethics classes address these questions.
           Finally, students have to learn to communicate their findings, visually and orally, and they need business know-how, perhaps to develop new products.

    From: www.nytimes.com
    As to the way academic institutions are reacting in response to the enormous need of professionals in the field of data science, the text informs that
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  • A016E6E2-AF

    Biologia

    Ecologia e ciências ambientais    UECE · 2013MédioEntre para guardar nos favoritos
    Quanto às questões de crise ecológica e sustentabilidade que afetam o mundo e, principalmente, as relações internacionais, é correto afirmar-se que
    Escolha uma alternativa para a questão a016e6e2-af