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

This class will tackle data-driven journalism, in collaboration with other academic and journalistic partners.nThe 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. Prerequisite: consent of instructor . May be repeat for credit.
Terms: Aut | Units: 5 | UG Reqs: WAY-SI | Repeatable 2 times (up to 10 units total)
Instructors: Phillips, C. (PI)

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

This class will tackle data-driven journalism, in collaboration with other academic and journalistic partners.nThe 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. Prerequisite: consent of instructor . May be repeat for credit.
Terms: Aut | Units: 4 | Repeatable 2 times (up to 10 units total)
Instructors: Phillips, C. (PI)
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