Courses offered by C^2 Faculty

CMN 12Y: Data Visualization in the Social Sciences (4)
Introduction to quantitative data across the social sciences (Communication, Political Science, Psychology, Sociology, and other disciplines). Transforming data, describing data, producing graphs, visual reasoning, and interpretations. Same course as PSC 12Y, POL 12Y, SOC 12y. GE: SS, QL, VL. Frey.

CMN 110: Communication Networks (4)
Theoretical approaches to communication networks, practical applications of network studies, and network analysis tools. Topics include friendship, political discussion, social support, organizational, social media, and disease transmission networks. Impact of emerging technologies on network creation, maintenance and expansion. GE credits: SS. Barnett, Shen.

CMN 112: Theories of Persuasion (4)
Theories and models of persuasion that account for the effects of source, channel and audience factors on message recipients. Examination of message strategies for altering attitudes and gaining compliance. Contexts of application include interpersonal relationships, product advertising, politics, and health. GE credit: SS | SS — I, II. (I, II.). Zhang.
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CMN 140: Introduction to Mass Communication (4)
Building on a foundation of an understanding of the organization of media institutions, CMN 140 introduces students to the range of major research areas in the empirical study of mediated communication. These research areas include media uses and effects, media economics, computer-mediated communication, human-computer interaction, political communication, health communication, media and cognition, and entertainment studies. Through lecture and course readings, students will come to know the foundational assumptions, methods and theories associated with each of these areas. GE credit: SS. — I, II, III. Cingel, Taylor, Yegiyan.

CMN 150V: Computational Social Science (4)
Nontechnical survey of modern computational research methods. Web scraping, artificial intelligence, visualizing social networks, and computer simulations. Hands-on use of diverse software applications. Professors from all ten UC campuses contribute. GE credit: QL (Quantitative Literacy) + SS (Social Sciences). Hilbert.
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Learn to go under the hood of social media and digital communication. In this course we will motivate computer programming with introductory exercises and demonstrations on Twitter, Instagram, Reddit, and even our own web browsing habits. We will complement these demonstrations with links to theories of communication and social networks.  The programming language we will use is Python. No prior programming experience is necessary, only the will to learn. GE credit: QL (Quantitative Literacy). Frey.

CMN 152V: Social Science with Online Data (4)
Survey of web-driven social science and its methods. Focus on web scraping and social media API’s. Covers wrangling and analysis of data from social networks, online experiments, and other digital traces. Python programming skills helpful, but not assumed. GE Credit: SS, QL, and SL. Frey.

CMN 161: Health Communication (4)
Survey of health communication theories and research. Review of research on health literacy, social support and coping, doctor-patient interaction, health communication campaigns, and media influences on health. Examination of the application of new communication technologies in health promotion. Bell, Hether, Zhang.
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CMN 170V: Digital Technology and Social Change (4)
The course provides a conceptual understanding of how digital technologies transform our lives, through social media, mobile communication, global connectivity, big data, and artificial intelligence. We talk about how the digital age changes business and entrepreneurship, health, democracy, global governance, poverty, family relations, dating, and last but not least: education! …with this course being a proof of concept… GE credit: SS (Social Sciences) | ACGH, VL, SS. — III. (III.) Hilbert.
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CMN 178: Persuasive Technologies (4)
Designing and testing ethical, technology-based communication interventions in the domains of health, marketing, education, and environment. Social media, mobile apps, wearable devices, recommendation systems, serious games, and augmented reality. GE credit: SS, WE. Zhang.

CMN 174: Social Media (4)
Application of theories of communication to the study and design of social media. Examination of social media in various contexts such as health, political movements and collaboration. Topics include motivations for membership, participation, social-technical capital and privacy. GE credit: SS. Shen.