Schedule

Readings are subject to change. Check the online syllabus before reading. Please refer to the learning management system (LMS) for all assignment deadlines and expected deliverables.

Week 1

• 1/11 Introductions
  • Reading:
    • VAD 1: What is Vis?
• 1/14 Orienting yourself to Web Visualizations
  • Reading:
    • Murray 1-2
    • Introduction to Observable
    • Optional: A Minimal Introduction to JavaScript and Observable. You may want to spend some time here if you are completely new to Javascript or need a refresher on programming in general. If so, review this before the Introduction to Observable above.
    • Optional: Variable assignment in JavaScript: let, const, var for beginners

Week 2

• 1/18 Tech Fundamentals
  • Reading
    • Murray 3-4: Tech Fundamentals & Setup
    • Start Introduction to Vega-Lite
• 1/21 Data
  • Reading
    • VAD 2: What: Data Abstraction
    • Murray 5: Data
    • Data Types - read up to, but not through, the section named “Encoding Channels”

Week 3

• 1/25 Tasks
  • Reading
    • VAD 3: Why: Task Abstraction
    • Continue Data Types, Graphical Marks, and Visual Encoding Channels beginning at “Encoding Channels”
  • Assignments
    • HW 1 due at the start of class
• 1/28 Marks and Channels
  • Reading
    • VAD 5: Marks and Channels
    • Data Types, Graphical Marks, and Visual Encoding Channels - finish.

Week 4

• 2/1 Exploratory Data Analysis
  • Reading
    • Polaris: A System for Query, Analysis and Visualization of Multi-dimensional Relational Databases. Chris Stolte, Diane Tang, and Pat Hanrahan. IEEE TVCG. 2002. (check course LMS for file)
    • Data Transformation
• 2/4 Exploratory Data Analysis II
  • Reading
    • Download the free student licensed version of Tableau
    • Introduction to Tableau - watch all “Creator” videos
    • Scales, Axes, and Transformation

Week 5

• 2/8 Tables I
  • Reading
    • VAD 7: Arrange Table Data
    • HW 2 due at the start of class
• 2/11 Tables II
  • Reading
    • VAD 12: Facet
    • Multi-view Composition

Week 6

• 2/15 Guest Lecture
• 2/18 Spatial Data I
  • Reading
    • VAD 8: Spatial Data
    • Cartographic Visualization

Week 7

• 2/22 Spatial Data II
  • Reading
    • Interaction
  • HW 3 Due at the start of class
• 2/25 Networks
  • Reading
    • VAD 9: Network Data

Week 8

• 3/1 Introduction to D3 I
  • Reading
    • Introduction to D3 - Static Visualizations
• 3/4 Introduction to D3 II
  • Reading
    • D3 Tutorial Part II
  • HW 4 Due at Start of Class

Week 9

• 3/8 Spring break; no classes, university offices open Monday through Friday
• 3/11 Spring break; no classes, university offices open Monday through Friday

Week 10

• 3/15 Color and Perception I
  • Reading
    • VAD 6: Rules of Thumb
• 3/18 Color and Perception II
  • Reading
    • VAD 10: Color and Other Channels
    • Optional: Rippin’ the Rainbow a New One
  • Final Project Proposal due at the start of class

Week 11

• 3/22 D3 Tutorial Workshop: Maps
• 3/25 D3 Tutorial Workshop: Network

Week 12

• 3/29 Manipulate
  • Reading
    • VAD 11: Manipulate View
• 4/1 Presenting Visual Statistics
  • Reading
    • Tufte VST

Week 13

• 4/5 Reduce
  • Reading
    • VAD 13: Reduce Items and Attributes
• 4/8 Embedding, Focus + Context
  • Reading
    • VAD 14: Embed Focus + Context
  • Assignments
    • First Prototype of final project due at the start of class

Week 14

• 4/12 Evaluating Visualizations
  • Reading
    • VAD 4: Evaluation
• 4/15 Project Videos
  • Project Videos due at the start of class

Week 15

• 4/19 Text
  • Peer Review due at the start of class
• 4/22 Visual Analytics, Machine Learning

Finals

• Tue 5/3 2:30-5pm: Final Project Presentations