From CS 725/825 Spring 2016

CS725-S16: Course Overview

The main goal of this course is to equip you with the background and tools needed to develop effective visualizations in your own research and future work. Part of developing effective visualizations requires analyzing existing visualizations and visualization problems.

One important piece of developing an effective visualization is knowing what not to do. In addition to studying recommended approaches, this course should also prepare you to rule out visualization approaches where there are mismatches in human capabilities or perception or mismatches with the intended task.

Course Organization

This course will be organized based on the "flipped classroom" model. Students will be assigned readings and homework that will be due before class time. There will be few, if any, lectures by the instructor. Class time will be spent on discussions of the assignments, student presentations, and in-class assignments. It is essential that each student be prepared to fully participate in class discussions each week.

For more details on specific assignment types and grading policies, see the syllabus.

Announcements, submission of assignments, outside-class discussion, and grading will be done on the class Blackboard site.

The required textbook for this course is Visualization Analysis and Design by Tamara Munzner.

Online Sections

There are some students participating in the course online. The audio and projected slides/images from our class meetings will be recorded using WebEx. Online students may join the WebEx session during class time or they may listen to the session afterwards (links will be posted in Blackboard). All students will participate in the same online discussions using Blackboard. Deadlines are the same for in-class and online students. If something is due before the next class meeting, that means it is due before 9:30am Eastern on Wednesday.

If you are enrolled in the on-campus sections, you are expected to attend and participate in class each week. In-class participation is part of your grade.

Course Objectives

After completing this course, you should be able to do the following:

General Schedule and Topic Objectives

The goal is to cover one chapter per week. The general schedule along with objectives for each chapter is given below.

Week 1 (Jan 13) - Introduction - Ch 1

Week 2 (Jan 20) - Data - Ch 2

Hands-on with Tableau, R, D3

Week 3 (Jan 27) - Tasks - Ch 3

Week 4 (Feb 3) - Analysis - Ch 4

Week 5 (Feb 10) - Marks and Channels - Ch 5

Week 6 (Feb 17) - Rules of Thumb - Ch 6

Week 7 (Feb 24) - Arrange Tables - Ch 7

Week 8 (Mar 2) - Maps, Arrange Networks and Trees - Ch 8.1-8.3, Ch 9

Spring Break (Mar 9)

Week 9 (Mar 16) - Map Color and Other Channels - Ch 10

Week 10 (Mar 23) - Manipulate View - Ch 11

Week 11 (Mar 30) - Multiple Views - Ch 12

Week 12 (Apr 6) - Reduce Items and Attributes - Ch 13

Week 13 (Apr 13) - Embed: Focus + Context - Ch 14

Week 14 (Apr 20) - Case Studies - Ch 15

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