IGR 204: Visualization

IGR 204: Visualization

Instructor
James Eagan
Teaching assistants
Period
Spring 2017 (P4)

Access to data is increasing exponentially, yet our ability to analyze and make sense of them is limited. The goal of information visualization is to provide users with the tools necessary to visually explore, understand, and communicate complex data.

Course goals

  • Introduce the fundamental principles of visualization.
  • Provide an overview of the state of the art and historical work in the domain.
  • Learn how to critically analyze visualizations applied to a particular data analysis task.

This course is taught in English.

Class organization

Classes will generally consist of 1h30 of lecture followed by 1h30 of lab activities. Lectures meet in the B312 auditorium, and labs are held in building C (check the syllabus in EOLE or Synapses regularly).

Class slides are available from the campus intranet.

Syllabus

Class Topic Homework/Readings
28/04—08h30 Intro, Data & Abstractions Value of InfoVis, D3, Munzner Ch. 1
28/04—10h15 Lab: Intro to D3 Due: M0 in class
05/05—08h30 Visual Mappings Table Lens, Pixel Bar Charts, Munzner Ch. 5
05/05—10h15 Lab: Intro to Processing Due: M1 midnight
12/05—08h30 Scientific Visualisation (SciVis)  
12/05—10h15 Scientific Visualisation (SciVis)  
02/06—08h30 Graphs & Trees Munzner Ch. 9
02/06—10h15 Projects Due: M2 before class, Labs 1 & 2 midnight
09/06—08h30 Tasks Task Typology, Explorable Explanations, Munzner Ch. 3
09/06—10h15 Projects  
16/06—08h30 Perception (*)  
16/06—10h15 Projects (*)  
23/06—08h30 Graphic Design & Tufte  
23/06—10h15 Projects  
29/06—08h30 Final Exams (M3)
30/06—08h30 Poster sessions (M4)  Due: M5 midnight

Discussions

Please use the class Moodle discussion forum. The system is catered to getting you help fast and efficiently from classmates or from the instructors. I encourage you to post questions and discussions there.

Readings

The textbook for this class is Visualization Analysis & Design, by Tamara Munzner. It is available through the link above. In addition to chapters from that book, various scholarly articles will be assigned as in-home readings.

We also recommend Envisioning Information, by Edward Tufte. This book really needs to be read in dead-tree form. You may consult my personal copy in my office. The link here points to Amazon for convenience, but if you wish to purchase it, I recommend using your preferred book pedlar.

Grading

Grades are determined by three primary criteria:

  • 50% Project
  • 40% Final exam
  • 10% Quizzes & Short homework assignments

Grades may be modulated by up to 5% based on class participation.

Plagiarism policy

All work submitted is expected to be your original work. Feel free to discuss your work with your fellow students, use available resources (e.g., books, articles, web pages, source code), but these resources should serve as inspiration or supporting materials only. Do not forget to cite any such resources appropriately. Failure to appropriately cite your sources may result in a grade of 0 and/or academic sanctions.

Labs & Project