Final Grading Details
Here is some information on where the final grades came from…
Read more…This is the course web for the Fall 2022 offering of CS765, Data Visualization.
If you are looking for the Fall 2024 offering, please go here.
You might want to start with Getting Started. Announcements of new things here will be made via the Course Canvas.
Here is some information on where the final grades came from…
Read more…Some notes on the final handins - details on what the forms look like so you can be prepared. The detail instructions are available at Final Project Handins.
It is probably best to have your answers ready when you fill out the Canvas forms.
Read more…The last week of the semester…
The big thing is, of course, the project. Instructions for the final handin are at Final Project Handins. Please consider signing up to give an in class presentation.
In class… I will give a “presentation on presentations” on Monday. This is more about the “general skill” of giving presentations, rather than something specific to Vis. On Wednesday, we’ll have some students give presentations. (we only have time for a few presentations)
Read more…The final projects must be turned in on (or before) Friday, December 16th. There will be a Canvas survey for turning the assignment in. Only one person per team should turn in the final project. The handin will include a writeup (up to 4 pages + references) and “artifacts” (software, a portfolio, video, …) These are detailed below.
Self-Evaluations for the project must be turned in on (or before) Sunday, December 18th. All students must turn in a self-evaluation. The self-evaluation will be a Canvas survey that is separate from the main hand-in.
Read more…The last full week of the semester!
In some ways, this is a normal week. We have a big topic (graphs - in the sense of networks, not in the sense of “line graph”). But, since you’re probably deep into the project, we’ll adjust expectations accordingly.
To give you more time to focus on the project, we won’t have an online discussion this week. Instead, use this as an opportunity to contribute to the Project Theme Discussions. Please be careful though: join a group before posting (if you post before joining a group, it goes into a “no-mans-land” where only people who haven’t joined a group can see it).
Read more…The week after Thanksgiving… we can sortof get back to a normal schedule.
This topic for this week is Evaluation. I’ll talk about it in lecture on Monday. The readings are important. You can read them before lecture or after (I’ll go through the main points - it’s stuff you will need to see more than once). The readings are very reduced for the project. But, there will be a “Design Excercise” related to both the project and the readings for the following week.
For Wednesday’s lecture, the topic is “the random stuff that doesn’t fit anywhere else.” It might be more on evaluation. I may talk about 3D and animation - because there is simply no other day to talk about them, and I feel a need to talk about them. Or maybe I’ll talk about the SciVis topics that we simply don’t get time to cover in class, but I feel must be at least mentioned in a Vis class.
In terms of the project: there is a “check in” this week - it’s officially due on Tuesday, but it is OK if you turn it in before Friday Dec 2. That will give you more time to make progress. Note: only one member per team needs to fill out the form, but all team members should do the survey to indicate who is doing the form for them.
Read more…It’s Thanksgiving week. The schedule is changed a little. I hope everyone has a good holiday.
This week we have a big topic: color. It seems so central. It seems so basic. But it turns out to be remarkably complex (and important). We can only scratch the surface. But, the amount we’ll do is also constrained by its Thanksgiving week, and the course project is starting (and I want students to focus on that).
Read more…Here are some hints for how to do well on Design Exercise 9: Visualization Hand-Ins - but really, they are advice on how to make good figures generally.
Read more…The grading (assessment, not critique) for the “Aid Data Design Exercises” puts together all the scoring information from the 3 assignments (drafts, critiques, and final handins).
Short version: your final score is a number between -2 and 2, where 0 is meant to be “expected” (where the mean is). This doesn’t tie neatly to grades.
Read more…