NMDS

5517

Transforming Data: Cultural Strategies in Datamining

Schools of Public Engagement: Media Studies

Non-Liberal Arts

Undergraduate Course

Graduate Course

Degree Students

Transforming Data

Spring 2019

Taught By: Jonathan Thirkield

Section: A

CRN: 3112

Credits: 3

From data capture to data visualization, the process of data transformation is a search for meaning through dozens to hundreds to millions of units of information. This course is both a conceptual and practical introduction to contemporary datascape, big and small. The focus will be on the two essential sides of data transformation: making data readable for humans and for machines. Through presentations, readings, and discussions, students will examine a variety of approaches to data research from data structures, to mining and aggregation, to visualization. In pratical projects, students will work with publicly available data sets as well as build their own. Computational methods covered by this class will include APIs, text and image libraries, quantitative methods, maps and GeoCoding. Students will be introduced to programming languages for data management (MySQL and JavaScript), and for visualization (Processing/PSjs). Prior programming experience may be advantageous, but is not necessary.

Pre-Requisite: Media Design (NMDS 5008) or instructor permission.
Media Studies courses are open to all graduate students. Undergraduate Juniors and Seniors with permission from the instructor and BA/MA Media studies students should email mediastudiesadvising@newschool.edu for access.

College: Schools of Public Engagement (NS)

Department: Media Studies (NMDS)

Campus: New York City (GV)

Course Format: Studio (S)

Max Enrollment: 15

Enrollment Status: Closed*

*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: 3:51pm 12/13/2018

Meeting Info:

Days: Thursday

Times: 4:00pm - 6:45pm

Building: Academic Entrance 63 Fifth Ave

Room: L106

Date Range: 1/24/2019 - 5/9/2019