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1 - 4 of 4 results for: computational journalism

COMM 177A: Computational Journalism (COMM 277A)

Focuses on using data and algorithms to lower the cost of discovering stories or telling stories in more engaging and personalized ways. Project based assignments based on real-world challenges faced in newsrooms. Prior experience in journalism or computational thinking helpful. Prerequisite: Comm 273D, COMM 113/213, or the consent of instructor.
Terms: Spr | Units: 4-5 | Grading: Letter or Credit/No Credit
Instructors: Nguyen, D. (PI)

COMM 277A: Computational Journalism (COMM 177A)

Focuses on using data and algorithms to lower the cost of discovering stories or telling stories in more engaging and personalized ways. Project based assignments based on real-world challenges faced in newsrooms. Prior experience in journalism or computational thinking helpful. Prerequisite: Comm 273D, COMM 113/213, or the consent of instructor.
Terms: Spr | Units: 4-5 | Grading: Letter or Credit/No Credit
Instructors: Nguyen, D. (PI)

COMM 281: Exploring Computational Journalism (CS 206)

This course will explore the evolving field of computational journalism. Students will research and discuss the state of field in five areas where computation is affecting journalism: AI, Data Science, and Info Viz; Emerging Hardware Tech, including Drones, Sensors, and VR; Audience Participation and Diverse Viewpoints; Free Speech and Democracy; and News Ecosystems and Business Models. Admission by application; please email James Hamilton at jayth@stanford.edu to request an application.
Terms: Win | Units: 3 | Grading: Letter (ABCD/NP)

CS 206: Exploring Computational Journalism (COMM 281)

This course will explore the evolving field of computational journalism. Students will research and discuss the state of field in five areas where computation is affecting journalism: AI, Data Science, and Info Viz; Emerging Hardware Tech, including Drones, Sensors, and VR; Audience Participation and Diverse Viewpoints; Free Speech and Democracy; and News Ecosystems and Business Models. Admission by application; please email James Hamilton at jayth@stanford.edu to request an application.
Terms: Win | Units: 3 | Grading: Letter (ABCD/NP)
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