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, 2018

http://www.vacommunity.org/VAST+Challenge+2018

3. Evaluation. The project will be separated 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 are the design requirements? 3. what are your designs? 4. Are there any design alternatives you have considered? 5. Why you choose your approach over others?

Phase I will count 20% of the whole project and the PPTs are due on Oct. 31. The project presentations will be on Nov. 2.

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 the PPTs are due on Nov. 28. The final presentations will be on Nov. 30.

Grading of final projects:

1. Usage of knowledge and skills from the course

2. Sophistication of your solution

3. Insight from the data

4. Presentation/report

Some past projects:

Visualizing start-up funding data
Origins of English
Aviation Safety Visualization
Visualization of Block Chain Data
Formula 1 visualization
Yelp Data Visualization
Hong Kong Horse Racing Data Visualization
Hong Kong House Pricing Data Visualization
Donald Trump Twitter Data Visualization
Stackoverflow Forum Data Visualization
Movie Review Data Visualization
AirBnB Data Visualization

Data from New York City: https://opendata.cityofnewyork.us/ (Links to an external site.)

Data from Hong Kong: https://data.gov.hk/en/ (Links to an external site.)

Kaggle data: https://www.kaggle.com/data (Links to an external site.)

Sample project presentation PPT: https://drive.google.com/open?id=1a8w0fPt9Qy6FbiT0EXEWLC2On3EJR92j (Links to an external site.)