Stanford University Explore Courses

COMM 177A: Advanced Data Journalism (COMM 277A)

In this course, students will learn about and experiment with a variety of advanced data and computational techniques used in the news industry to hold powerful individuals and institutions to account. Topics may include geospatial analysis, image classification and entity extraction. Students will learn how these techniques are used to develop and tell stories, and then apply that knowledge in small-scale, novel exercises.

Terms: Spr | Units: 5

Instructors: Tumgoren, S. (PI)

COMM 277A: Advanced Data Journalism (COMM 177A)

Terms: Spr | Units: 4

Instructors: Tumgoren, S. (PI)

COMM 281: Exploring Computational Journalism (CS 206)

This project-based course will explore the field of computational journalism, including the use of Data Science, Info Visualization, AI, and emerging technologies to help journalists discover and tell stories, understand their audience, advance free speech, and build trust. This course is repeatable for credit; enrollment priority given to students taking it for the first time.

Terms: Win | Units: 3 | Repeatable 3 times (up to 9 units total)

Instructors: Agrawala, M. (PI) ; Brenner, R. (PI) ; Tumgoren, S. (PI)

CS 206: Exploring Computational Journalism (COMM 281)