Fall 2016
September 7 – December 14
Instructors
Ben Fry
fry@mit.edu
James Grady
grady@mit.edu
Leslie Watkins
leslie@fathom.info
Schedule
Wednesday
9:30-10:30 Lecture
Classroom 1-132
Friday
9:30-11:30 Lab
Classroom 1-132
Course Description
Introduction to working with data for exploration and explanation. The course mixes history and theory of information with a series of projects that apply the ideas directly. Students will start with basic data analysis, then learn about visual design and presentation, followed by more sophisticated interaction techniques. Topics include storytelling and narrative, choosing representations, understanding audiences, and the role of designers working with data. Experience with code and/or design preferred, but not expected or required.
Goals
This class is not intended to give students a “how to” on creating data visualization. There are plenty of tools and libraries for creating interactive toys and prescribed visualizations. Those tools can be very useful, but it’s something you can learn on your own time if you choose to. This course will use a mix of work from outside of information design and data visualization, plus work we have done at Fathom to demonstrate different ways of looking at narrative and interactive information design in a broader way.
Minimum homework time
9 hours per week
Grading
Grades from A to F will be assigned at both the middle and end of the semesters. Only the end of semester grade is on record. The following criteria are used for assessment:
Completion: Were the projects completed on time?
Design: What was the quality of design concept/unique perspective. Was there enough design iteration and process sketching?
Code: What is students understanding of code? Were they able to iterate and modify code?
Participation: Did the student participate in class? Did they ask questions to TA’s if needed?
Design + Code = 70% of grade
Completion + Participation = 30% of grade
Assignments + Themes
There will be four core assignments representing different information design/data visualization considerations. There will also be weekly themes that align with the current project. For the most part, there is no pre-determined deliverable. Each assignment will begin with an overview lecture providing context and precedents.
Assignment 1: Examples
1 week
Assignment 2: Clocks
1 week
Assignment 3: Weather
2 weeks
Assignment 4: Census
4 weeks
Assignment 5: Choose your own adventure
6 weeks
Sketchbook
We expect you to keep a sketchbook to be submitted at the end of the semester that shows us all of your hand drawn concepts and screen grabs of the projects along the way.
Themes
Audience
Context of Use
Sketching
Iterating
Translating
Mapping
Perceiving
Exploring
Navigating
Understanding
Representing
Refining
Reflecting