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21 - 30 of 34 results for: COMM

COMM 277B: Big Local Journalism: a project-based class (COMM 177B)

( COMM 177B is offered for 5 units, COMM 277B is offered for 4 units.) This class will tackle data-driven journalism, in collaboration with other academic and journalistic partners. The class is centered around one or more projects rooted in local data-driven journalism but with potential for regional or national journalistic stories and impact. Students work in interdisciplinary teams to negotiate for public records and data, analyze data and report out stories. Some of the work may be published by news organizations or may be used to advance data journalism projects focused on public accountability. Students will gain valuable knowledge and skills in how to negotiate for public records, how to critically analyze data for journalistic purpose and build out reporting and writing skills. Students with a background in journalism (especially data journalism), statistics, computer science, law, or public policy are encouraged to participate. Enrollment is limited. May be repeated for credit. (Cardinal Course certified by the Haas Center)
Terms: Aut | Units: 4 | Repeatable 2 times (up to 10 units total)
Instructors: Phillips, C. (PI)

COMM 279: News Reporting & Writing Fundamentals

Learn beat reporting and writing skills including source development, interviewing, and story structure for news and features. Emphasis on developing news judgment, clear writing skills, and an ability to execute stories on deadline. Exercises and assignments mimic a newsroom. Students pursue local beats with a focus on public issues and complement written pieces with relevant data analyses and multimedia components. Prerequisite: Only open to Journalism M.A. students. Corequisite: COMM 275.
Terms: Aut | Units: 3-4 | Repeatable 2 times (up to 8 units total)
Instructors: Zacharia, J. (PI)

COMM 289P: Journalism Thesis

MA thesis course. Focuses on development of in-depth journalism project, culminating in work of publishable quality.
Terms: Aut, Win, Spr | Units: 2-4

COMM 290: Media Studies M.A. Project

Individual research for coterminal Media Studies students.
Terms: Aut, Win, Spr, Sum | Units: 1-2 | Repeatable 2 times (up to 4 units total)

COMM 299: Individual Work

Terms: Aut, Win, Spr, Sum | Units: 1-4 | Repeatable for credit

COMM 308: Graduate Seminar in Political Psychology (POLISCI 321, PSYCH 284)

For students interested in research in political science, psychology, or communication. Methodological techniques for studying political attitudes and behaviors. May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1-3 | Repeatable for credit

COMM 311: Theory of Communication

Basic communication theory for first-year Ph.D. students in the Department of Communication. Introduction to basic writings and concepts in communication research. The goal is an introduction to issues in the field that are common in communication research. First half of the class will emphasize classic literature about field organization, history and theory. Second half will emphasize contemporary theory in areas that students select. Email instructor for permission to enroll.
Terms: Aut | Units: 1-5
Instructors: Reeves, B. (PI)

COMM 322: Advanced Studies in Behavior and Social Media

This course will focus on advanced research on social media with an emphasis on interpersonal dynamics. The course will emphasize key theories from psychology and communication that bear on behavior and social media. Students will develop a research project in the course that draws on one of the primary methods from the social media space. Email instructor for permission to enroll.
Terms: Aut | Units: 1-5 | Repeatable 5 times (up to 25 units total)

COMM 324: Language and Technology

In this course we develop a model of how language reflects social and psychological dynamics in social media and other technologically-mediated contexts. The course lays out the main stages of analyzing language to understand social dynamics, including using theory to identify key discourse features, feature extraction, and classification and prediction. The course will draw on action-oriented language approaches to understand how people use language (e.g., grounding and joint action models), and then build on this approach to understand how discourse features from natural language can be used to answer questions from a wide range of social science questions, and ultimately, to the design of new technologies. Email instructor for permission to enroll.
Terms: Aut | Units: 3-5
Instructors: Hancock, J. (PI)

COMM 339: Questionnaire Design for Surveys and Laboratory Experiments: Social and Cognitive Perspectives (POLISCI 421K, PSYCH 231, PUBLPOL 339)

The social and psychological processes involved in asking and answering questions via questionnaires for the social sciences; optimizing questionnaire design; open versus closed questions; rating versus ranking; rating scale length and point labeling; acquiescence response bias; don't-know response options; response choice order effects; question order effects; social desirability response bias; attitude and behavior recall; and introspective accounts of the causes of thoughts and actions.
Terms: Aut | Units: 4
Instructors: Krosnick, J. (PI)
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