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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Texas A&M University 3 credits JOUR
COURSE OVERVIEW. Explores data as a form of communication and examines how information is interpreted, visualized and presented for different audiences and purposes. Emphasizes data storytelling as both an analytical and narrative practice, focusing on how visual choices shape understanding. Considers visualization designs that use data to inform, explain, persuade and/or support decision-making, using tools such as Excel and R. Addresses principles of visual perception, evidence-based messaging and interpretation of qualitative data and quantitative analyses, including descriptive and inferential statistics. Considers how visual choices, context and audience shape meaning in visual communication. Coursework may involve analysis, critique and/or development of data-driven messages in digital or visual formats. RELEVANCE AND APPLICATION. Builds data visualization skills relevant to journalism, strategic messaging, marketing, public affairs, organizational communication, media production, research presentation and political advocacy. Builds capacity to interpret data, build visual explanations and representations and present insights in accessible formats. Supports effectiveness in academic and professional contexts where evidence, visualization and communication intersect. DEEPENING UNDERSTANDINGS. Clarifies how data gain meaning through interpretation, framing and visual design. Highlights the difference between raw information and communicative impact. Encourages attention to credibility, context and the persuasive or explanatory use of visualized evidence. TOPICS AND THEMES. May include study and critique of data visualizations; analysis of how charts, maps, dashboards, infographics or interactive visuals communicate meaning; consideration of audience adaptation, ethics, representation or narrative framing; exploration of digital storytelling strategies in data communication, including how sequencing, emphasis and interactivity guide interpretation; consideration of persuasive and informative uses of data in media, public communication, organizational settings or digital platforms. Course content may involve real-world issues or case studies that reflect diverse perspectives or public debate. Prerequisite: Junior or senior classification. Cross Listing: COMM 303/JOUR 305.
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Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
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