INF229: Information visualization
- Instructor: James Eagan
- Winter 2014 (P2)
Access to data is increasing exponentially, yet our ability to analyze and make sense of them is limited. The goal of information visualization is to provide users with the tools necessary to visually explore, understand, and communicate complex data.
- Introduce the fundamental principles of information visualization.
- Provide an overview of the state of the art and historical work in the domain.
- Learn how to critically analyze visualizations applied to a particular data analysis task.
This course is taught in English.
Classes will generally consist of 1h30 of lecture followed by 1h30 of lab activities. Lectures meet in the Estaunié or B312 auditoriums, and labs are held in building C (check the syllabus in EOLE regularly).
This term we will be using Piazza for class discussion. The system is highly catered to getting you help fast and efficiently from classmates and from me. I encourage you to post questions and discussions there.
The following books are available in the library (the links to Amazon below are purely for ease of use):
Additionally, various scholarly articles will be assigned as in-home readings.
Grades are determined by three primary criteria:
- 50% Project
- 40% Final exam
- 10% Short homework assignments
Additionally, up to an extra 5% may be awarded at the instructor’s discretion based on class participation.
All work submitted is expected to be your original work. You may discuss your work with your fellow students, use available resources (e.g., books, articles, web pages), but use these resources as inspiration only. Do not forget to cite any such resources appropriately. Failure to appropriately cite your sources may result in a grade of 0 and/or academic sanctions.