The schedule for this class will weave together four key themes. First, we'll discuss a number of core visual analytics concepts and models. Second, espeically early on in the semester, we'll spend time reviewing the D3.js library, a widely used framework for interactive visualization on the web. Third, we'll review recent examples of research in visual analytics from the scientific literature. And finally, we'll have some special guest speakers address the class both in person and via web conference.

Below you'll find a TENTATIVE schedule for the semester. Please note that all topics/dates/etc. are subject to change at any time. I fully expect to adjust our plans multiple times over the course of the semester.



21Class 1Course OverviewA1: Environment Setup assigned
A2: Semester Project Proposal assigned
21Class 2Introduction to Visual Analytics
•Read "Visual Analytics: Definition, Process, and Challenges" by Keim et al.
•Read "Illuminating the Path (ItP)" Executive Summary (Pages 1-18)
28Class 3Information Visualization Overview
Semester Project Orientation
•Read "Visualization Analysis and Design (VAD)" Chapter 1 ('What's Vis, and Why Do It?')
•Read "A Tour Through the Visualization Zoo" by Heer et al.
A1 due
28Class 4Select Topics: JavaScript and SVG
Introduction to D3 and Simple Statistics
•Read web pages for D3 and Simple Statistics.
•Bring laptop for in-class exercises.
4Class 5Information Visualization: Data and Tasks
•Read "VAD" Chapter 2 ('What: Data Abstraction')
•Read "Information Visualization (IV)" by Colin Ware, portions of Chapter 1 on Types of Data/Metadata
A2 due
Problem preferences due Wed. Sept. 5th @ 11am (see Team Formation Process)
4---Free time - read proposals / Q&A
!NOTE:Proposal Electives due tomorrow!
11Class 6Team Formation and First MeetingsA3: Project Status and Proposal Revision assigned
A4: Semester Project Deliverables and Presentation assigned
11Class 7Hands On D3: Part 1
•Read the tutorial "Let's Make a Bar Chart."
•Read about D3 Data Joins.
•Read the tutorial "Data Joins in D3.js."
A5: D3 Exercise assigned
18Class 8Information Visualization: Visual Encoding
18Class 9Hands On D3: Part 2
•Read about D3 Handling Events.
•Read about D3 Transitions.
A5 due
A6: More D3 assigned
Class 10
Team Design Workshop: You should still complete the readings.
25Class 11Data Representation and Transformation: Basic Wrangling
•Read "Research Directions in Data Wrangling" by Kandel et al.
2Class 12Hands On D3: Part 3
•Read about D3 Data Manipulation.
A6 due
A7: Research Article Choices assigned
2Class 13Data Representation and Transformation: Statistics
9Class 14Hands On Simply Statistics
•Re-Read Simple Statistics web page, focusing on API.
A8: Simple Statistics Exercise assigned
9Class 15Project Midterms: Present your proposal and progress-to-date to the class.
Schedule Research Article Presentations
A3 due
A7 due

A9: Research Article Presentation assigned
16Class 16Data Representation and Transformation: Dimension Reduction, Classification, Clustering
•Read Dimension Reduction on Wikipedia.
•Read Statistical Classification on Wikipedia.
•Read Cluster Analysis on Wikipedia.
16Class 17User in the Loop: Connecting Analytics and Visualization
23Class 18Class is cancelled. This class period should be used for team project meetings.A8 due
23Class 19Class is cancelled. This class period should be used for team project meetings.A8 due
30Class 17User in the Loop: Connecting Analytics and Visualization
6Class 20Analytical Reasoning: Models
•Read "ItP" Chapter 2, pages 33-48
6Class 21Research Article Presentations (Day 1)A9 due (for some)
13Class 24Analytical Reasoning: Challenges
•Read "Confirmation Bias" on Wikipedia.
•Read "Groupthink" on Wikipedia.
20Class 25Research Article Presentations (Day 2)A9 due (for some)
20Class 26Collaboration and Dissemination
•Read "Storytelling: The Next Step for Visualization" by Kosara and Mackinlay.
27ThanksgivingNo Class
28ThanksgivingNo Class
4Class 28Final Project PresentationsA4 part 1 (presentation and online demonstration) due (for some)
11Class 29Final Project PresentationsA4 part 1 (presentation and online demonstration) due (for some)
11Final Exam PeriodProject Deliverables Due by Noon A4 part 2 (software prototype) due
A4 part 3 (final report) due
A4 part 4 (team evaluations) due