This course is intended for students in data intensive fields (such as public policy, atmospheric physics, biological sciences and so on), who are interested in generating improved visualizations of data. We will learn what makes a visual representation effective by critically evaluating examples seen in the media. You will also see how effective (and ineffective) visualizations impact decisions, policies, investigations and planning in the world around us. Additionally, you will gain hands-on experience with visualization tools such as Tableau, Many Eyes, ProtoVis, Prefuse, Parallel Sets, Processing.
Instructor: Alark Joshi
Email: alark.joshi AT yale.edu
| January 14th | Introduction to Data Visualization |
| January 21st | Graphical Integrity |
| January 28th | Sports |
| February 4th | User studies and evaluations |
| February 11th | Project Proposal Presentations |
| February 18th | Economy, Public Policy and Crime |
| February 25th | Biomedicine |
| March 4th | Social Media (Facebook, Twitter, foursquare) |
| March 11th, 18th | Spring Break |
| March 25th | Geovisualization, Environmental Factors and Natural Disasters |
| April 1st | Biology |
| April 8th | Security, Surveillance and Privacy |
| April 15th | Text Visualization |
| April 22nd | Final Project Presentations |
In addition to the handouts and relevant readings assigned for each week, we will refer to the following texts for weekly readings. These books should be available at the Yale bookstore.
Here is a list of software that could be used for the final class project. Tableau is the only software here that is not free, but they have generously provided their software for our class through the Tableau for Teaching program.