Course Project:

1. Each group can have 4 students. Students can find their teammates and those students who fail to form their own group will be assigned by the instructor.

2. Each group will pick one of the following topics. Students are also allowed to pick topics based on thier own interests, but they need to consult with the instructor beforehand. Based on the picked topic, each group will be assigned a project mentor. If you wan to suggest your own topic, please direclty talk to the professor and submit a proposal.

Topic #1: Spatio-temporal Visual Analytics. (The IEEE VGTC VPG International Data-Visualization Contest 2016)

http://vacommunity.org/ieeevpg/viscontest/2016/

Topic #2:VAST chanllenge, 2016

http://vacommunity.org/VAST+Challenge+2016

Topic #3:VAST chanllenge, 2013

Topic #4:VAST chanllenge, 2009

http://hcil2.cs.umd.edu/newvarepository/benchmarks.php#VAST2011

3. Evaluation. The project will be seperated into two phases.

In phase I, each group need to get familiar with the task and the data. As a result, they need to hand a report including the following: 1. what is the general structure of the data. 2. what is the design requirement. 3. what is your design. 4. Is there any design alternatives you have considered. 5. why you choose your appraoch over others.

phase I will count 20% of the whole project and due on Oct. 30.

In phase II, each group need to implement their design. Both static and dynamic visualization are allowed. phase II will count 80% of the whole project and due on Nov. 30. The evaluation contains two parts:

each group need to demonstrate their result, including demo their results, describe their design through their figures/system, illustrate how they found the patterns. This part count 60% of phase II.
each student will be asked to descirbe his/her own contribution, and will be asked a few questions about the code and how is thier system work. This part count 40% of phase II.