Data Visualization

This is the course website for CS444/544, Data Visualization.

• Instructor: Carlos Scheidegger
• TA: Nathan Sema
• class email: spring15cs444@cs.arizona.edu Use this email for urgent class-related questions and comments. It will reach both Nathan and Carlos. For content discussions, please use Piazza.
• Lectures: Tuesdays and Thursdays, 2:00PM-3:15PM, GS906
• Office Hours: Tuesdays, 9:00-11:30, GS734. Otherwise by appointment only.

Class materials

• Week 1, Introduction, slides.

Mechanics

• Week 2, HTML/CSS/SVG Basics.
• Week 3, JavaScript Basics.
• Week 3b, JavaScript for simple visualizations.
• Week 4, Odds and Ends: JavaScript Events, AJAX, HTTP.
• Week 4b, Introduction to d3
• Week 5, d3 selections and joins
• Exploratory Data Analysis, Data Cleaning, Project Discussion

Principles

• Principles: Color.
• Principles: Other Channels.
• Principles: Preattentiveness, Gestalt.
• Principles: Interaction, Filtering, Aggregation.

Assignments

• Assignment 1, posted January 15th. Due January 22nd.
• Assignment 2, posted January 22nd. Due January 29th.
• Assignment 3, posted January 29th. Due February 5th.
• Assignment 4, posted February 5th. Due February 12th.
• Assignment 5, posted February 12th. Due February 26th (you have two weeks for this).
• Assignment 6, posted March 12th. Due Apr 9th (you have four weeks for this).
• Assignment 7, posted Apr 14th. Due Apr 21st.

Final Project

In the final project for CS444/CS544, students picked a dataset of their choosing (as long as it was sufficiently complex, as defined by the instructing staff), and created an interactive visualization from scratch. The final project page includes a list of the projects as submitted by the students.

Schedule

Mechanics

• Jan 20th: the web browser as a dev environment; HTML; CSS
• Jan 22nd: DOM, SVG
• Jan 27th: Javascript basics
• Jan 29th: Higher-order Javascript
• Feb 3rd: Talking to a server, AJAX
• Feb 5th: d3 intro
• Feb 10th: d3 selections, joins
• Feb 12th: d3 scales, transitions
• Feb 17th: Exploratory Data Analysis, d3 data loading, cleaning

Principles

• Feb 19th: Color Vision 1
• Feb 24th: Color Vision 2
• Feb 26th: Bivariate colormaps, other perceptual channels, Cleveland/McGill, Separable-Integral channels, Mackinlay’s APT.
• Mar 3rd: Pre-attentiveness, Gestalt, higher-level channels
• Mar 5th: Interaction, Filtering, Aggregation
• Mar 10th: Algebraic Design Process
• Mar 12th: Design criticism
• Mar 17th: Spring Break
• Mar 19th: Spring Break
• Mar 24th: Review
• Mar 26th: MIDTERM

Techniques

• Apr 7th: Line Plots, Dot Plots, Scatterplots, Small multiples
• Apr 9th: Linear Algebra review, PCA
• Apr 14th: MDS, Other dimensionality reduction 2
• Apr 16th: Trees, Graphs, Hierarchies
• Apr 21st: Trees, Graphs, Hierarchies
• Apr 23rd: Spatial Data: heatmaps, contour plots, vector fields
• Apr 28th: Spatial Data: heatmaps, contour plots, vector fields
• Apr 30th: Methods for large data; binning, sampling
• May 5th: Uncertainty/Probabilistic Data
• May 7th: Dead day
• May 12th: Finals week
• May 14th: Finals week

about | license | suggest a fix | Last modified: 2015-05-14 18:18