Please note that this schedule is subject to change.

Calendar

Date	Topic	Readings	Assignments
8/27	Introduction	Ch. 1
8/29	Web Programming		A1
9/03	Web Programming
9/05	JavaScript		A2
9/10	Data	Ch. 2
9/12	Tasks	Ch. 3
9/17	Design & D3
9/19	Marks & Channels	Ch. 5	A3
9/24	Marks & Channels
9/26	Tabular Data	Ch. 7
10/01	Color	Ch. 10
10/03	Color
10/08	Geospatial Data	Ch. 8.1-8.3
10/10	Networks	Ch. 9
10/15	Trees		A4
10/17	Midterm
10/22	Sets
10/24	No Class
10/29	Design & Interaction	Chs. 4 & 6
10/31	Multiple Views	Chs. 11 & 12
11/05	Aggregation	Ch. 13
11/07	Focus+Context	Ch. 14	A5
11/12	Data Aggregation
11/14	Isosurfacing	Ch. 8.4
11/19	Volume Rendering
11/21	Vector Visualization	Ch. 8.5
11/26	Text
11/28	No Class
12/03	Review
12/05	Project Presentations
12/12	Final Exam (10-11:50am)

Lectures

(08/27) Introduction

• Slides
• Reading: Ch. 1

(08/29) Web Programming

• Slides
• Examples:
  • Basic HTML
  • HTML & CSS
  • CSS Specificity

(09/03) Web Programming

• Slides
• Examples:
  • SVG Example

(09/05) JavaScript

• Slides
• Examples:
  • DOM Manipulation
  • Assorted JavaScript Features

(09/10) Data

• Slides
• Reading: Ch. 2
• Example:
  • SVG Barchart

(09/12) Tasks

• Slides
• Reading:
  • Ch. 3
  • ISOTYPE Visualization - Working Memory, Performance, and Engagement with Pictographs, S. Haroz et al., 2015
  • Beyond Usability and Performance: A Review of User Experience-focused Evaluation Goals in Visualization, B. Saket et al., 2016

(09/17) D3

• Slides
• D3 Intro Slides

(09/19) Marks & Channels

• Slides
• Bar Chart Example: Base, With Axes and Scales, With Objects and Margin Convention

(09/24) Marks & Channels

• Slides
• Reading: Ch. 5
• Examples:
  • Data
  • Tableau Workbook
  • Vega-Lite

(09/26) Tabular Data

• Slides
• Reading: Ch. 7

(10/01) Tables & Color

• Slides
• Reading: Ch. 10
  • Arcs, Angles, or Areas: Individual Data Encodings in Pie and Donut Charts, D. Skau and R. Kosara, 2016.
  • Judgment Error in Pie Chart Variations, R. Kosara and D. Skau, 2016.
  • Blog: An Illustrated Tour of the Pie Chart Study Results

(10/03) Color

• Slides
• Reading:
  • Modeling Color Difference for Visualization Design, D. Albers Szafir, 2017.
  • Evaluating the Impact of Binning 2D Scalar Fields, L. Padilla et al., 2016.

(10/08) Geospatial Data

• Slides
• Reading:
  • Ch. 8.1-8.3
  • Value-Suppressing Uncertainty Palettes, M. Correll et al., 2018.
  • Turbo, An Improved Rainbow Colormap for Visualization, A. Mikhailov, 2019. [Stevens’ Critique]

(10/10) Networks

• Slides
• D3 Map Example
• Reading:
  • Ch. 9
  • Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data, D. Holten, 2006.

(10/15) Trees

• Slides
• Reading:
  • Cushion Treemaps: Visualization of Hierarchical Information, J. J. van Wijk and H. van de Wetering, 1999.
  • Squarified Treemaps, M. Bruls et al., 1999.

(10/22) Sets

• Slides

(10/29) Design

• Slides
• Reading:
  • Chs. 4 & 6
  • Sketching Designs Using the Five Design-Sheet Methodology, J. Roberts et al., 2016.

(10/31) Interaction & Multiple Views

• Slides
• Reading:
  • Chs. 11 & 12
  • Animated Transitions in Statistical Data Graphics, J. Heer and G. G. Robertson, 2007.

(11/05) Multiple Views & Filtering

• Slides
• Reading:
  • Ch. 13
  • Exploring the Design Space of Composite Visualization, W. Javed and N. Elmqvist, 2012.

(11/07) Aggregation

• Slides
• Reading:
  • Probing Projections: Interaction Techniques for Interpreting Arrangements and Errors of Dimensionality Reductions, J. Stahnke et al., 2015
• D3 Linked Highlighting Example

(11/12) Focus+Context & Data Aggregation

• Slides
• LearnJSData: Original Site, Observable Notebook
• Reading:
  • Ch. 14

(11/14) Isosurfacing

• Slides
• Reading: Ch. 8.4

(11/19) Volume Rendering

• Slides

(11/21) Vector Visualization

• Slides
• Reading: Ch. 8.5

(11/26) Text

• Slides

(12/3) Review

• Slides