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.



23Class 1Course OverviewA1: Environment Setup assigned
A2: Semester Project Proposal assigned
25Class 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)
30Class 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
1Class 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.
6Class 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
8Class 6Proposal Elevator Pitches
Team Formation and First Meetings
A2 due 24 hours before class.
A3: Project Status and Proposal Revision assigned
A4: Semester Project Deliverables and Presentation assigned
13Class 7Hands On D3: Part 1
•Read the D3 Tutorial "Let's Make a Bar Chart."
•Read about D3 Data Joins.
A5: D3 Exercise assigned
15Class 8Information Visualization: Visual Encoding
20Class 9Hands On D3: Part 2
•Read about D3 Handling Events.
•Read about D3 Transitions.
A5 due
A6: More D3 assigned
22Class 10Team Design Workshop
27Class 11Data Representation and Transformation: Basic Wrangling
•Read "Research Directions in Data Wrangling" by Kandel et al.
A7: Research Article Choices assigned
29Class 12Hands On D3: Part 3
•Read about D3 Data Manipulation.
A6 due
4Class 13Data Representation and Transformation: Statistics
A7 due
6Class 14Hands On Simply Statistics
•Re-Read Simple Statistics web page, focusing on API.
A8: Simple Statistics Exercise assigned
11Class 15Project Midterms: Present your proposal and progress-to-date to the class.
Schedule Research Article Presentations
A3 due
A9: Research Article Presentation assigned
13Class 16Data Representation and Transformation: Dimension Reduction, Classification, Clustering
•Read Dimension Reduction on Wikipedia.
•Read Statistical Classification on Wikipedia.
•Read Cluster Analysis on Wikipedia.
18Class 17User in the Loop: Connecting Analytics and VisualizationA8 due
20Fall BreakNo Class
25Class 18Research Article Presentations (Day 1)A9 due (for some)
27Class 19Class is cancelled. Prof. Gotz will be attending IEEE VIS. Please use this day for team project meetings.
1Class 20Analytical Reasoning: Models
•Read "ItP" Chapter 2, pages 33-48
3Class 21Research Article Presentations (Day 2)A9 due (for some)
8Class 22Industry Guest Lecture: Krist Wongsuphasawat, Twitter
10Class 23Analytical Reasoning: Challenges
•Read "Confirmation Bias" on Wikipedia.
•Read "Groupthink" on Wikipedia.
15Class 24Class is cancelled. Prof. Gotz will be attending AMIA. Please use this day for team project meetings.
17Class 25Industry Guest Lecture: Robert Gove, Invincea Labs
22Class 26Research Article Presentations (Day 3)A9 due (for some)
24ThanksgivingNo Class
29Class 27Industry Guest Lecture: Xan Gregg, SAS
1Class 28Collaboration and Dissemination
•Read "Storytelling: The Next Step for Visualization" by Kosara and Mackinlay.
6Class 29Final Project PresentationsA4 part 1 (presentation and online demonstration) due
9Final Exam PeriodProject Deliverables Due by Noon on Dec. 9 A4 part 2 (software prototype) due
A4 part 3 (final report) due
A4 part 4 (team evaluations) due