|
ENG 344. Data and Contemporary Culture. 3 Credit Hours.
Data is often considered the domain of scientists and statisticians. But the proliferation of data and databases across nearly all aspects of daily life – powering everything from the targeted advertisements you see when you go online to the fake news circulating on Facebook to the next financial recession – has made the study and understanding of the concept of data a vital everyday concern. This course provides an introduction to the meaning, uses, and politics of data today. Readings are drawn from literary and cultural studies, media studies, science and technology studies, sociology, information science, and the digital humanities. No prior technical experience is required.
Prerequisite: None
Components: LEC.
Grading: GRD.
Typically Offered: Fall.
|
|
MLL 410. Digital Literacy Through Cultural and Literary Topics. 3 Credit Hours.
Digital research methods and tools applied to literary and cultural studies. The course works with texts as data and with many approaches available to collect, annotate process, analyze and interpret them. Concepts covered include but are not limited to textual corpus, semantic tagging, text mining, and topic modeling.
Prerequisite: ENG 106 or ENG 107.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
|
|
MLL 411. Cultures of the Digital: Pages, Screens, Platforms and 21st Century Aesthetics. 3 Credit Hours.
Communication technologies across national borders. Students will interrogate the ramifications of cross-platform and cross-cultural reading in the digital age and its literary, aesthetic and theoretical history. Texts will include works on electronic literature, print media, art and cinema from across the 20th and 21st century Americas.
Prerequisite: ENG 106 or ENG 107.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
|
|
SPA 410. Digital Literacy Through Cultural and Literary Topics in Spanish. 3 Credit Hours.
Digital research methods and tools applied to literary and cultural studies in Spanish. The course looks at major texts in Spanish as data, and with many approaches available to collect, annotate, process, analyze and interpret them. Concepts covered include but are not limited to textual corpus, semantic tagging, text mining, and topic modeling.
Prerequisite: SPA 301 or SPA 302 or SPA 303 or SPA 307.
Components: LEC.
Grading: GRD.
Typically Offered: Fall & Spring.
|
