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Credits: 3 Prerequisites: None Corequisites: None
This course introduces students to the interplay between data and its surrounding societal context. It will cover the basics of data science, focusing on the ethical, legal, and social implications of data and algorithms. Students will learn to conceptualize and evaluate practical applications of data science in communication, information, and media contexts. (Note that ITI students have an ITI course number for this class, 04:547:225.)
Learning Objectives
Upon successful completion of this course, students will be able to:
- Develop the ability to assess and articulate the relevance of data for a particular organizational or societal problem.
- Identify frameworks for understanding the impact of data on society and that of society on data.
- Explain the background of quantification and data-fication, including its social and political purposes.
- Analyze and critique the ethical, legal, and social implications of data collection, data processing, and algorithm development.
- Design practical applications of data science in communication, information, and media contexts in ways that are sensitive to social, structural and political economic concerns.
- Communicate data science outputs to relevant audiences with attention to their contexts.
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Credits: 3 Prerequisites: Limited to non-Communication majors Corequisites: None
Development of effective oral presentation and participation skills in interpersonal, small group, organizational and public settings. Particular attention is given to issues of diversity and multiculturalism in presentation and participation. Does not count toward the major.
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Credits: 3 Prerequisites: None Corequisites: None
In this course, students examine and analyze the information retrieval process in order to more effectively conduct electronic searches, assess search results, and use information for informed decision making. Major topics include: search engine technology; human information behavior; evaluation of information quality; business, economic, and cultural factors that affect the availability and reliability of electronic information; and the future of search.
Learning Objectives
Upon successful completion of this course, students will be able to:
- Associate critical terms and concepts in the areas of epistemology; human information behavior; information seeking, retrieval, and evaluation of information through information retrieval systems; and legal aspects and economics of the search industry.
- Explain principles that underlie information retrieval systems pertaining to searching, main processes of web search engines (e.g., crawling, indexing, querying and retrieving, ranking), and evaluation of search results.
- Evaluate and employ current technologies to access and retrieve information using diverse search tools and effective search strategies, conduct research, and communicate findings.
- Analyze and critically assess information using traditional and emergent technologies including evaluating the credibility, validity, and value of diverse information sources.