Current Courses

Autumn 2022
TXTDS 267 A: Data Science and the Humanities

Offered jointly with: ENGL 267 A
SLN: 23137; GE: A&H; Credits: 5

Instructor: Anna Preus

Do humanistic questions have a place in the field of data science? Conversely, are methods from data science useful for the study of literary classics, famous works of art, or historical debates? And how can humanities approaches help us address issues of bias and exclusion in an increasingly technology-driven world? This course examines such broad issues while offering an introduction to a range of approaches and methodologies within the growing field of humanities data science. Topics will include data bias, text digitization, digital archiving, data visualization, and computational text analysis. During the course, we will work with and analyze a broad range of digital resources, including online libraries, digital editions, visualization and mapping platforms, text analysis packages, and creative projects.

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TXTDS 414 A: Digital Editing and Text Processing for Publication

Offered jointly with: FRENCH 420 A / TXTDS 504 A
SLN: 22912; GE: A&H/SSc; Credits: 5

Instructor: Geoffrey Turnovsky

Texts as public documents and the outcome of editorial and publication processes. Historical perspectives on editing and on factors shaping access to and circulation of texts, including politics, religion, censorship, copyright, technology, and commerce. Emphasis on digital editing, text encoding, database building, and on techniques for processing, querying, and publishing texts and textual databases.

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TXTDS 504 A: Texts, Publics and Publication

Offered jointly with: TXTDS 414 A / FRENCH 420 A
SLN: 22913; Credits: 5

Instructor: Geoffrey Turnovsky

Texts as public documents and the outcome of editorial and publication processes. Historical perspectives on editing and on factors shaping access to and circulation of texts, including politics, religion, censorship, copyright, technology, and commerce. Digital editing and publishing. Digitization, transcription, text encoding, and web publication. Hosting, using a variety of platforms.

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Non-TXTDS Electives

ENGL 267 A: Introduction to Data Science in the Humanities

Offered jointly with: TXTDS 267 A
SLN: TBD; GE: A&H; Credits: 5

Instructor: Anna Preus

Do humanistic questions have a place in the field of data science? Conversely, are methods from data science useful for the study of literary classics, famous works of art, or historical debates? And how can humanities approaches help us address issues of bias and exclusion in an increasingly technology-driven world? This course tackles such broad issues while offering an introduction to a range of approaches and methodologies within the growing field of humanities data science. This course examines the relationship between texts and technology and offers an introduction to a range of approaches and methodologies within the growing field of humanities data science. Topics will include data bias, text digitization, digital archiving, data visualization, statistical modeling, and computational literary analysis. During the course, we will work with and analyze a broad range of digital resources, including online libraries, digital editions, visualization and mapping platforms, text analysis packages, and creative projects. As part of weekly assignments, students will use and analyze these digital tools and work with datasets. The final project will involve building a dataset and conducting an original analysis using digital tools.

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AFRAM 360: Black Digital Studies

SLN: 10173; GE: A&H; Credits: 5

Instructor: LaShawnDa Pittman

Bridges and intersects two interdisciplinary fields – black studies and digital humanities. Attention to knowledge production. Role of archives, collections, research centers, the black press, and digital technology. Ideas related to power, memory, resistance, perspective and respectability politics in storytelling and control of the vehicles used to do so.

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INFO 101: Social Media, Ethics, and Automation

SLN: 16747; GE: NSc/Ssc; Credits: 5

Instructor: Kyle Thayer

Automation drives our experience of social media platforms, from timeline feeds to disinformation bots. Students examine social media phenomena, like viral memes, parasocial relationships, and harassment campaigns. Students then explore the ethics of automation on social media platforms through experimenting with computer programs that automate social media actions. We assume no prior programming experience.

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