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 will 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 will also learn to reason about ethical practices in data science.

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 will 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 will also learn to reason about ethical practices in data science.

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 will 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 will also learn to reason about ethical practices in data science.

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 will 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 will also learn to reason about ethical practices in data science.

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 will 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 will also learn to reason about ethical practices in data science.

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 will 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 will also learn to reason about ethical practices in data science.

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 will 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 will also learn to reason about ethical practices in data science.

This course aims at expansion of students' vocabulary and improvement of reading, writing and speaking skills. The course is intended for students who have completed at least four semesters of Russian or the equivalent. Heritage learners of Russian (those who speak the language) will also benefit from the course. With a strong emphasis on integrating vocabulary in context, this course aims to help students advance their lexicon and grammar, increase fluency and overcome speaking inhibitions.

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.

The first half of a two-semester sequence. Students practice all four language modalities: reading, listening, writing and speaking. The course incorporates a variety of activities that are based on a range of topics, text types and different socio-cultural situations. Authentic texts (poems, short stories, TV programs, films, songs and articles) are used to create the context for reviewing and expanding on grammar, syntax and vocabulary. Prerequisite: RES 100Y or equivalent.