Spring 2016 Course in Data Visualization Methods

MALS 75300 Data Visualization Methods
Monday, 11:45 AM – 1:45 PM
3 credits, Prof. Lev Manovich

Be sure to  check out Lev Manovich’s spring 2016 course on Data Visualization Methods. Described as, “[A] class designed to teach students practical skills in visualizing and analyzing data, with the particular focus on cultural datasets.” This class is sure to be of interest to anyone wanting to know more about preparing data for analysis; summarizing data using descriptive statistics; popular visualization techniques for 1D, 2D, and multi-variable data; elements of data mining for data visualization; visualizing big data; elements of graphic design for visualization; designing and publishing online visualization projects. The class will also discuss “important data visualizations created by designers, artists and scientists,” according to Manovich. The class will read influential theoretical
publications dealing with relevant topics such as  use of visualization in humanities, artistic data visualization and politics of big data. Students will complete practical homework assignments where they they will analyze, visualize and interpret patterns in various data sets including historical humanistic data (MoMA art collection), socio-economic data (Census data for NYC areas) and social media data
(millions of Instagram photos shared in NYC.


Please as you are registering for classes, look into this course or contact Lev Manovich for more information.


The Futures Initiative
The Graduate Center, CUNY
365 Fifth Avenue
New York, NY 10016-4309