Your grade in this course will be determined as follows:
Each week we will have a selection of relevant papers and articles on visualization. All students are expected to have downloaded and read one of the assigned papers for the week and made an initial post to the LMS discussion by Monday @ 11:59pm. The discussion will continue online on Tuesday and in class on Wednesday.
It's "ok" if you don't understand all of the details (we will often be reading recent technical research results). Use google and/or wikipedia to find more information about one or more background topics from the paper broadly relevant to visualization and write a summary about what you learned. Ideally, the paper will serve as a jumping off point that leads to other reading, possibly specialized to your area of interest.
The process of visualization design and implementation can be roughly broken down into a series of stages (with overlap! & order can be shuffled!):
The homework assignments are your chance to practice each stage/category of visualization processing. The topic for your each week's assignment is open-ended. The programming language & environment and visualization infrastructure are your choice. You may work individually or with other students in a small group. At least once in the semester you must work alone. At some point in the semester you must work with at least two different groups of people. You may (are encouraged to) work on the same topic for multiple weeks.
You are expected to generate one or more visual artifacts and upload them, along with any code you wrote and an informal writeup, to LMS by Tuesday at 11:59pm. You also must document your time spent on the assignment in each of the above stages/categories. You are expected to spend 5-10 hours on each weekly assignment. It is expected that each week you do notable work in only 1-3 stages/categories. By the end of the semester you should have logged an appropriate (non-zero) amount in every category.
Final Project Presentations
You will give a more formal in-class presentation of your work at the end of the semester. You will be graded both of the quality and creativity of the presentation and also on the technical content of the work.