Describe theoretical ideas of power in relation to policy.
Locate a valid current event that is appropriate and sociological in scope.
Apply major sociological perspectives by summarizing the article or program.
Compare the differences between majority and minority groups.
Identify historical and contemporary influences of discrimination in American culture.
Characterize and observe how different social groups are represented in news and entertainment media.
Analyze how laws are applied based on race, ethnicity, religion, gender, sexual orientation, age, and social class.
Demonstrate the relationship between the theories, policies, and concepts of sociology.
Apply diversity strategies in professional, educational, and personal contexts.
Identify areas for social groups to improve social class or status.
Communicate effectively in a variety of formats.
State and support a clear central idea in a coherently organized document.
Briefly, in one or two paragraphs, summarize the main events or issues in your article. Clarify how the event or issue connects to this course.
Compare and contrast how minority and dominant groups are portrayed in your chosen media article or program.
Think about how your article or program demonstrates this dominant/minority group differentiation.
Of the theories covered so far in the course, which seem most appropriate to understanding the events in your chosen article? Why? Include relevant examples from the article or program to illustrate your points. Examples of theories include Marx’s and Weber’s theories of inequality, Park’s race relations cycle, Gordon’s theory of assimilation, human capital theory, scapegoat hypothesis, theory of authoritarian personality, split labor market theory, the contact hypothesis, the Noel hypothesis, the Blauner hypothesis, and the culture of poverty theory.
Choose one of the following to discuss (choose which is appropriate for your chosen article):
Discuss how one or more of Merton’s four categories of prejudice and discrimination (from the Merton’s Typology of Prejudice and Discrimination interactive in Unit 3) apply to the article or program you chose.
Explain which of the types of racial and ethnic group relations explained in Chapter 2 of the Race, Ethnicity, Gender, and Class text (assimilation, pluralism, separatism, and revolution) best describes how race and ethnic relations are presented in your media program or article.
Discuss how dominant and minority groups are portrayed.
Apply the theories covered in the course to the content of your news article or program.
Discuss Merton’s categories of prejudice and discrimination or the patterns of racial and ethnic group relations.
'Huge' DATA SCIENCE In the event that you could take an excursion back in time with a time machine and say to individuals that today a kid can communicate with each other from anyplace and question trillions of information everywhere throughout the globe with a straightforward tap on his/her PC they would have said that it is sci-fi ! Today in excess of 2.9 million messages are sent over the web each second. 375 megabytes of information is devoured by family units every day. Google forms 24 petabyte of information for every day. Now that is a great deal of information !! With each snap, as and share, the world's information pool is extending speedier than we grasp. Information is being made each moment of consistently without us notwithstanding seeing it. Organizations today are focusing on scores of information sources to settle on essential choices about what's to come. The ascent of advanced and versatile correspondence has influenced the world to end up more associated, arranged and traceable which has commonly brought about the accessibility of such extensive scale informational indexes. So what is this trendy expression "Enormous Data" about ? Huge information might be characterized as informational indexes whose size is past the capacity of run of the mill database programming instruments to catch, make, oversee and process information. The definition can vary by area, contingent upon what sorts of programming apparatuses are generally accessible and what sizes of informational indexes are regular in a specific industry. The blast in advanced information, transfer speed and handling power – joined with new apparatuses for dissecting the information has started gigantic enthusiasm for the rising field of information science. Enormous information has now achieved each area in the worldwide economy. Enormous information has turned into an indispensable piece of tackling the world's issues. It enables organizations to find out about their clients, items and all alone foundation. All the more as of late, individuals have turned out to be broadly centered around the adaptation of that information. As indicated by a McKinsey Global Institute Report in 2011, just making huge information all the more effortlessly open to important partners in a convenient way can make tremendous esteem. For instance, in the general population area, making important information all the more effortlessly available crosswise over generally isolated offices can strongly cut pursuit and handling time. Enormous information additionally enables associations to make very particular divisions and to tailor items and administrations decisively to address those issues. This approach is generally known in promoting and hazard administration however can be progressive somewhere else. Huge Data is enhancing transportation and power utilization in urban areas, making our most loved sites and informal organizations more proficient, and notwithstanding anticipating suicides. Organizations are gathering a greater number of information than they recognize what to do with. Enormous information is all over the place; the volume of information created, spared and mined is startling. Today, organizations utilize information gathering and examination to figure more pertinent business methodologies. Fabricates utilize information got from the utilization of genuine items to enhance and grow new items and to make creative after-deal benefit contributions. This will keep on being a rising region for all ventures. Information has turned into an upper hand and fundamental piece of item advancement. Organizations prevail in the huge information period not just in light of the fact that they have progressively or better information, but since they have great groups that set clear destinations and characterize what achievement looks like by asking the correct inquiries. Huge information are additionally making new development openings and totally new classes of organizations, for example, those that gather and investigate modern information. A standout amongst the most great regions, where the idea of Big information is occurring is the zone of machine learning. Machine Learning can be characterized as the investigation of PC calculations that enhance consequently through understanding. Machine learning is a branch of man-made brainpower which itself is a branch of software engineering. Applications run from information mining programs that find general guidelines in huge informational indexes, to data sifting frameworks that adapts consequently the client's advantages. https://sergeytihon.files.wordpress.com/2013/03/data_science_vd.png Rising close by the generally new innovation of enormous information is the new activity title information researcher. An article by Thomas H. Davenport and D.J. Patil in Harvard Business Review depicts 'Information Scientist' as the 'Sexiest Job of the 21st Century'. You need to purchase the rationale that what makes a vocation "attractive" is when interest for your aptitudes surpasses supply, enabling you to summon a sizable paycheck and alternatives. The Harvard Business Review really analyzes these "information researchers" to the quants of 1990s on Wall Street, who spearheaded "budgetary building" and algorithmic exchanging. The requirement for information specialists is developing and request is on track to hit uncommon levels in the following five years Who are Data Scientists ? Information researchers are individuals who know how to request that the correct inquiries get the most incentive out of huge volumes of information. At the end of the day, information researcher is somebody who is preferred at insights over any product architect and preferable at programming building over any analyst. Great information researchers won't simply address business issues; they will pick the correct issues that have the most incentive to the association. They join the scientific capacities of a researcher or an architect with the business discernment of the endeavor official. Information researchers have changed and continue changing the way things work. They coordinate enormous information innovation into both IT divisions and business capacities. Information researcher's must likewise comprehend the business utilizations of enormous information and how it will influence the business association and have the capacity to speak with IT and business administration. The best information researchers are open to talking the dialect of business and helping organizations reformulate their difficulties. Information science because of its interdisciplinary nature requires a crossing point of capacities of hacking aptitudes, math and measurements learning and substantive mastery in the field of science. Hacking abilities are important for working with enormous measure of electronic information that must be gained, cleaned and controlled. Math and measurements information enables an information researcher to pick fitting techniques and devices so as to remove knowledge from information. Substantive skill in a logical field is urgent for producing persuading inquiries and theories to decipher comes about. Customary research lies at the convergence of learning of math and measurements with substantive skill in a logical field. Machine taking in originates from consolidating hacking abilities with math and insights learning, however does not require logical inspiration. Science is about revelation and raising information, which requires some rousing inquiries concerning the world and speculations that can be conveyed to information and tried with factual techniques. Hacking abilities joined with substantive logical skill without thorough strategies can bring forth off base examination. A decent researcher can comprehend the ebb and flow condition of a field, pick testing questions were a win will really prompt valuable new learning and push that field promote through their work. Step by step instructions to wind up a Data Scientist ? No college programs in India have yet been intended to create information researchers, so enlisting them requires inventiveness. You can't turn into a major information researcher medium-term. Information Scientist need to know how to code and ought to be alright with science and measurements. Information Scientist require know machine learning and programming designing. Learning information science can be extremely hard. They likewise need to know how to arrange vast informational indexes and utilize perception instruments and procedures. Information researchers need to know how to code either in SAS, SPSS, Python or R. Factual Package for the Social Sciences (SPSS) is a product bundle at present created by IBM is generally utilized program for measurable examination in sociology. Factual Analysis System (SAS) programming suite created by SAS Institute is for the most part utilized as a part of cutting edge investigation. SAS is the biggest piece of the pie holder for cutting edge investigation. Python is an abnormal state programming dialect, which is the most usually utilized by information researcher's locale. At last, R is a free programming dialect for factual figuring and designs. R dialect has turned into an accepted standard among analysts for creating factual programming and is broadly utilized for measurable programming improvement and information examination. R is a piece of the GNU Project which is a joint effort that backings open source ventures. A couple of online courses would enable you to take in a portion of the fundamental coding dialects. One such course that is accessible at present is through the well known MOOCs site coursera.org. A specialization course offered by Johns Hopkins University through coursera encourages you learn R programming, imagine information, machine learning and to create information items. There are couple of more courses accessible through coursera that encourages you to learn information science. Udacity is another mainstream MOOCs site that offers courses on Data Science, Machine Learning and Statistics. CodeAcademy additionally offers comparable courses to learn information science and coding in Python. When you begin working with information at the size of the web, the essential approach and procedure of investigation should and will change. Most information researchers are taking a shot at issues that can't be kept running on a solitary machine. They have extensive informational collections that require disseminated handling. Hadoop is an open-source programming structure for putting away and huge scale handling of informational collections on bunches of item equipment. MapReduce is this programming worldview that considers huge versatility over the servers in a Hadoop group. Apache Spark is Hadoop's expedient Swiss Army cut. It is a quick - running information investigation framework that gives continuous information preparing capacities to Hadoop. It is imperative that an information researcher must have the capacity to>GET ANSWER