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.
Syllabus tentative, final changes will be made by a week before the class. Readings should be done before the lecture.
Week | Dates | Topic | Topic | Assignments Due |
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1 | May 11, 13 | Intro | Data | HW0 |
2 | May 18, 20 | Tasks | Validation | HW 1 |
3 | May 25, 27 | No class Memorial Day | Marks & Channels | HW 2 |
4 | Jun 1, 3 | Pitches & Rules of Thumb | Tables | HW 3, M1, M2 |
5 | Jun 8, 10 | Spatial Data | Networks | HW 4 |
6 | Jun 15, 17 | Exam Midterm | Color | M3 |
7 | Jun 22, 24 | Manipulate | Facet | HW 5 |
8 | Jun 29, Jul 1 | Reduce | Embed | HW 6, M4 |
9 | Jul 6, 8 | Case Studies | Commercial Tools | |
10 | Jul 13, 15 | No class | Presentations | M5 |
11 | Jul 20, 22 | Video Review and Discussion | Review Last Day of Class | |
12 | Jul 27, 29 | Exam Final Exam | Exam: 11:30am-2:20pm |
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.
Component | Weight |
---|---|
Class Participation | 10% |
HW Assignments | 25% |
Semester Project | 35% |
Midterm Exam | 15% |
Final Exam | 15% |
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.
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M1 Announced
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M1 Blurb due Monday by Class Start
M1 due Monday in Class
M2 Announced
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M2 Due Friday by 5pm
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M3 Announced
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M3 Due Friday by 5pm
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M4 Announced
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M4 Due Friday by 5pm
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