Below, Rahul Bhargava describes various aspects of how he teaches CMS.631 Data Storytelling Studio: Climate Change.
Below, students in the course describe the data storytelling techniques they found particularly compelling, offer advice to future students, and share tips with educators interested in facilitating a similar learning experience.
The course is open to all technical levels and backgrounds. Students with a strong background in one or more of the following areas are prioritized: journalism, software development, data analysis, documentary, and visual and performing arts.
Every spring semester
The students' grades were based on the following activities:
20% Participation, peer-assistance and paper reviews
45% Technique sketches
20% Final project
Breakdown by Year
Both undergraduates and graduate students
Breakdown by Major
Computer science, business, biology, mechanical engineering, writing, and the arts
Enrollment is capped at 30 so that the instructor has adequate time to support each student as they experiment with data storytelling techniques.
During an average week, students were expected to spend 12 hours on the course, roughly divided as follows:
- Met 2 times per week for 1.5 hours per session; 27 sessions total.
- Class sessions involved hands-on activities, teamwork, and critique sessions.
Out of Class
- Students completed assignments and readings, contributed to the class blog, and worked on their final projects outside of class.