Information visualization helps people explore or explain data through interactive software that exploits the capabilities of the human perceptual system. A key challenge in information visualization is designing a useful spatial mapping of a dataset that is not inherently spatial and coupling that mapping to interaction techniques that allow people to intuitively explore the dataset. Information visualization draws on the intellectual history of several traditions, including computer graphics, human-computer interaction, cognitive psychology, semiotics, graphic design, statistical graphics, cartography, and art. The synthesis of relevant ideas from these fields with new methodologies and techniques made possible by interactive computation are critical for helping people keep pace with the torrents of data confronting them.
Academic integrity: Unless explicitly stated otherwise, you are expected to do your assignments and work on your own. Your project will be a collaborative effort among a group of students. For it, you may use libraries and code fragments from sources on the web that you integrate into an overall working system. Your source code should indicate what code is imported and used as is, what code is imported and modified, and what code is original. It is appropriate to discuss your project with others to gain ideas and feedback and help with sticky problems. It is not appropriate to find an existing infovis system, modify it and submit it as your own work. If in doubt, confer with your instructor.
All students are expected to adhere to the Georgia Tech Honor Code.
Readings should be completed before each lecture.
|1||5-15||Intro||VAD Ch 1|
|5-17||Data||VAD Ch 2|
|2||5-22||Tasks||VAD Ch 3|
|5-24||Validation||VAD Ch 4, VST p. 5-15||HW1|
|3||5-29||No class Memorial Day|
|5-31||Marks & Channels||VAD Ch 5||M1|
|4||6-5||Spatial Data||VAD Ch 8|
|6-7||Tables||VAD Ch 7, VST p. 16-31||HW 3, M2|
|5||6-12||Guest Networks||VAD Ch 9|
|6-14||Guest Rules of Thumb||VAD Ch 6||HW 4|
|6-21||Color||VAD Ch 10||M3|
|7||6-26||Manipulate||VAD Ch 11|
|6-28||Facet||VAD Ch 12||HW 5|
|8||7-3||No class Independence Day|
|7-5||Reduce||VAD Ch 13||HW 6, M4|
|9||7-10||Embed||VAD Ch 14|
|7-12||Case Studies||VAD Ch 15|
|10||7-17||Text||Overview of Text Visualization Techniques (Nan and Cui, Ch 2)|
|7-19||Visual Analytics||Visual Analytics: Definition, Process, and Challenges (Keim et al.)|
|11||7-24||Deliverable Review and Discussion||M5|
|7-26||No Class Reading Period|
|12||Jul 31||Exam Final Exam||Exam: 8:00am-10:50am|
It is expected that students will come to class, be prepared by doing the readings, and will pay attention and participate in discussions. Doing all three regularly will earn full credit. If you want to surf the internet on your laptop in class, take another course.
Any questions regarding general rules and regulations should first be directed to the Georgia Tech Catalog. If you still have questions, please seek out the TA or Instructor during the posted office hours.
|HW0 Choose Ignite Topic & Set up Git||5%|
|HW1 Theory: Data||10%|
|HW2 Theory: Tasks and Validation||10%|
|HW3 Theory: Marks and Channels||10%|
|HW4 Design: Tables||15%|
|HW5 Design: Spatial Data||15%|
|HW6 Design: Networks||15%|
|HW7 Ignite Talk||20%|
|M2 Short Project Statement||20%|
|M3 Project Proposal||30%|
|M4 Status Update||10%|
|M5 Final Deliverable||35%|
All assignments are due at the time indicated in the schedule. Late work is penalized at one letter grade per day starting with the day of submission. For example, an assignment turned in 10min late on the submission deadline is one day late, turning in 24hours 10min after the deadline is two days, and so on. This policy applies in all cases except medical or family emergencies. Too much other work, gone for the weekend, ran out of paper etc. are not emergencies.