Visuality and Data

Eugene Lang College Lib Arts: Culture and Media

Liberal Arts

Undergraduate Course

Degree Students

Visuality and Data

Fall 2018

Taught By: David Bering-Porter

Section: A

CRN: 5168

Credits: 4

[Tracks C, M] An unprecedented number of images surround us today through media ranging from print to cinema to the digital. This network of screens and images surround and entice us at various scales, from the smartphone to the IMAX theater. Drawing on the idea of the “visual archive” as it is understood in media archaeology to define the vast array of images circulating across locations and media platforms, this course will explore the intersections of visual studies and the tools and techniques of information studies and “big data", specifically the visualization of data. In this course, we will explore the history, theory, and practice of generating, understanding, and using visual data within the context of film and media studies. Students will acquire a working knowledge and hands-on training with data visualization technologies including ImagePlot, and use this practical knowledge in scholarly and creative assignments in the class. This course blends theoretical and practice-based approaches to data visualization and film studies. Navigating this visual archive means fostering new kinds of visual and informational literacy within the context of film studies as the boundaries between media and data become increasingly difficult to discern. This class asks how does data visualization fit into the field of film studies and visual culture both as an analytical tool and an object of study on its own? Drawing on historical and theoretical texts from film studies, new media theory, and the digital humanities, this course helps foster an important critical understanding and engagement with the flow of images and information that circulate around us 24/7. [Tracks C, M]

College: Eugene Lang College Lib Arts (LC)

Department: Culture and Media (LCST)

Campus: New York City (GV)

Course Format: Seminar (R)

Max Enrollment: 18

Enrollment Status: Open*

*Enrollment status information is updated every five minutes. The status of this course may have changed since the last update. Open seats may have restrictions that will prevent some students from registering. Updated: 2:37am 1/16/2019

Meeting Info:

Days: Monday, Wednesday

Times: 3:50pm - 5:30pm

Building: Academic Entrance 63 Fifth Ave

Room: L101

Date Range: 8/27/2018 - 12/17/2018