DataVis2012
This page contains information on the Data Visualization course taught by Professor Cláudio Silva during Spring 2012 2008 in the Polytechnic Institute of NYU.
This class meets on Mondays, 6-9pm, room TDB.
Course Overview
The demand for the construction of complex visualizations is growing in many disciplines of science, as users are faced with ever increasing volumes of data to analyze. In this class, we will cover the principles and techniques necessary to generate these visualizations.
There will be no required textbook. Kitware's VTK User's Guide might be useful. We will be providing a detailed set of course notes for the class.
For the assignments, we will be using VisTrails, VTK, and matplotlib in this class. For each assignment, the students will need to turn in their complete "vistrail" for the work.
Besides the assignments, there will be one midterm and one final.
College of Engineering Guidelines
Lectures, and consulting hours
We will meet twice a week: Tuesday, Thursday, 10:45am-12:05pm, WEB 112.
The instructor for the class is Claudio Silva.
The TA for the course is Chang Liu.
Silva office hours: Tuesdays and Thursdays (9:45 - 10:45 am), WEB 4893.
TA office hours: Mon, Wed and Fri(10:00-11:00am), CADE lab(Linux) or by appointment chang.liu@utah.edu
Please post your questions to teach-cs5630@cs.utah.edu.
Schedule
As announced in class, we will hold 2 optional lectures on VisTrails, VTK, and Python. They will be held on WEB Rm# 120 (note room change!), 3-4pm on the following dates:
- August 29th, 2008
- September 5th, 2008
Reading
The class wiki page will contain up-to-date notes that reflect the material covered in class. We will also add pointers to supplementary material.
In the tentative schedule, there are hints on what to read before attending the class.
Tips for converting VTK pipelines
Reference Material
Assignments
Assignments will be listed here.
Late Assignments
Assignments will not be accepted late. Students will be given a one-time two-day exemption for an unexpected event.
Grading
Your grade will be a combination of assignments, midterm and final.
Mailing List
There are two mailing lists for this class.
The datavis-course [@vgc.poly.edu] mailing list is the general student list for the course. You can sign up for it here:
http://vgc.poly.edu/mailman/listinfo/datavis-course
The datavis-course-teach [@vgc.poly.edu] is how you should interact with the instructor staff. Please do not send mail to personal addresses.