The practice of data science rests upon computing environments that foster responsible uses of data and reproducible scientific inquiries. This course develops students’ ability to engage in data science work using modern workflows, open-source tools and ethical practices. Students learn how to author a scientific report written in a lightweight markup language (e.g., markdown) that includes code (e.g., R), data, graphics, text and other media. Students also learn to reason about ethical practices in data science. S/U only.

The practice of data science rests upon computing environments that foster responsible uses of data and reproducible scientific inquiries. This course develops students’ ability to engage in data science work using modern workflows, open-source tools and ethical practices. Students learn how to author a scientific report written in a lightweight markup language (e.g., markdown) that includes code (e.g., R), data, graphics, text and other media. Students also learn to reason about ethical practices in data science. S/U only.

The practice of data science rests upon computing environments that foster responsible uses of data and reproducible scientific inquiries. This course develops students’ ability to engage in data science work using modern workflows, open-source tools and ethical practices. Students learn how to author a scientific report written in a lightweight markup language (e.g., markdown) that includes code (e.g., R), data, graphics, text and other media. Students also learn to reason about ethical practices in data science. S/U only.

The practice of data science rests upon computing environments that foster responsible uses of data and reproducible scientific inquiries. This course develops students’ ability to engage in data science work using modern workflows, open-source tools and ethical practices. Students learn how to author a scientific report written in a lightweight markup language (e.g., markdown) that includes code (e.g., R), data, graphics, text and other media. Students also learn to reason about ethical practices in data science. S/U only.

The practice of data science rests upon computing environments that foster responsible uses of data and reproducible scientific inquiries. This course develops students’ ability to engage in data science work using modern workflows, open-source tools and ethical practices. Students learn how to author a scientific report written in a lightweight markup language (e.g., markdown) that includes code (e.g., R), data, graphics, text and other media. Students also learn to reason about ethical practices in data science. S/U only.

A continuation of RES 331. Prerequisite: RES 331 or equivalent.

Explores the avant-garde film traditions of Eastern and Central Europe, including works from the Soviet Union, Poland, Hungary, Czechoslovakia and Yugoslavia. The course focuses on how avant-garde filmmakers engaged with the socialist project in the USSR and Eastern Bloc, and its call for new forms, sites and life practices. The course investigates how avant-garde cinema represents everyday life amidst the public and private spaces of socialism.

Offered as RES 273 and WLT 273. How did the "final frontier" of space become a "front" in the Cold War? As the US and USSR competed in the Space Race, science fiction reflected political discourses in literature, film, visual art and popular culture. This course explores Russian and Western science fiction in the contexts of twentieth-century geopolitics and artistic modernism (and postmodernism), examining works by Bogdanov, Kubrick, Tarkovsky, Butler, Haraway, Pelevin and others.