Visual media are increasingly generated, manipulated, and transmitted by computers. When well designed, such displays capitalize on human facilities for processing visual information and thereby improve comprehension, memory, inference, and decision making. Yet the digital tools for transforming data into visualizations still require low-level interaction by skilled human designers. As a result, producing effective visualizations can take hours or days and consume considerable human effort.
In this course we will study techniques and algorithms for creating effective visualizations based on principles and techniques from graphic design, visual art, perceptual psychology and cognitive science. The course is targeted both towards students interested in using visualization in their own work, as well as students interested in building better visualization tools and systems. The class will meet twice a week. In addition to participating in class discussions, students will have to complete several short programming and data analysis assignments as well as a final programming project. Students will be expected to write up the results of the project in the form of a conference paper submission.
- Check out the Visualization Gallery and add any interesting visualizations you find on that page.
- The first time you login to this wiki it will automatically create an account for you. After logging in add yourself to the list of Participants page.
- New Visualizations posted to the Visualization Gallery.
- Assigned: Assignment 1 (due Sep 9 by midnight)
- Due: Final Project (project proposal)
M Nov 10: In Class Project Presentations
W Nov 12: In Class Project Presentations
W Nov 26: No class
W Dec 3: Final Poster Session - 1-2:30pm, 5th Floor Soda Hall, Open to the Public
Course Numbers: CS294-10 Visualization
Units: 1 unit S/U or 3 units for a letter grade
Instructors: Maneesh Agrawala (maneesh at cs.berkeley.edu) and Jessica Hullman (jhullman at berkeley.edu)
Meeting: 310 Soda Hall, MW 1-2:30pm
- Maneesh: 535 Soda Hall, Mon: 2:30-4pm and by appointment
- Jessica: 523 Soda Hall, Fri: 2:30-4pm and by appointment
- The Visual Display of Quantitative Information (2nd Edition). E. Tufte. Graphics Press, 2001.
- Envisioning Information (2nd Edition), E. Tufte. Graphics Press, 2005.
Your best bet is to order them online.
Please order soon. Readings will be assigned in the first week of class.
Class participation (10%)
Final Project (40%)
Late Policy: For assignments we will deduct 10% for each day (including weekends) the assignment is late.
Plagiarism Policy: Assignments should consist primarily of your original work, building off of others' work--including 3rd party libraries, public source code examples, and design ideas--is acceptable and in most cases encouraged. However, failure to cite such sources will result in score deductions proportional to the severity of the oversight.
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