Schedule

The following provides a rough lecture schedule and links to resources for each lecture. Keep in mind this will change as the semester progresses.

Monday Wednesday Friday Deadlines
    01/23 Syllabus, Introduction 01/25 Basic Charts and Plots 01/25 Roster Form
01/28 Perception and Color 01/30 Introduction to R 02/01 Introduction to R 02/01 Participation 1: Blogs
02/04 Design and Evaluation 02/06 Evaluation Exercise 02/08 Multivariate Data Visualization 02/08 Homework 1: Plots
02/11 Multivariate Data Visualization 02/13 Design Dimensionality 02/15 Text Data Visualization 02/15 Participation 2: Evaluation
02/18 No Class (Presidents Day) 02/20 Text Data Visualization 02/22 Temporal Visualization 02/22 Homework 2: Multivariate
02/25 Paper Presentations (Group A) 02/27 Random R Demos 03/01 Redesign Exercise 03/01 Participation 3: Midterm Data
03/04 Paper Presentations (Group B) 03/06 MIDTERM PROTOTYPES 03/08 MIDTERM PROTOTYPES 03/08 Homework 3: Text
03/11 No Class (Spring Break) 03/13 No Class (Spring Break) 03/15 No Class (Spring Break) 03/17 MIDTERM PROJECT
03/18 Introduction to D3 03/20 D3 Tutorials 03/22 Journalism in the Age of Data 03/24 Participation 4: People
03/25 Interactivity and Animation 03/27 Interactivity and Animation 03/29 No Class (Good Friday) 03/29 Homework 4: Using D3
04/01 Geospatial Visualization 04/03 Geospatial Visualization 04/05 Guest Lecture: Scott Murray 04/05 Participation 5: Final Data
04/08 Paper Presentations (Group D) 04/10 Hierarchical Visualization 04/12 Hierarchical Visualization 04/12 Homework 5: Maps
04/15 Networks and Graphs 04/17 Graph Layouts 04/19 Graph Visualization in D3 04/19 Homework 6: Trees
04/22 Paper Presentations (Group E) 04/24 Graph Visualization in D3 04/26 Case Studies 04/26 Homework 7: Graphs
04/29 Effective Presentations 05/01 Art and Visualization
05/03 FINAL PROTOTYPES 04/29 FINAL PROTOTYPE
05/06 Paper Presentations (Group F) 05/08 Visualization Showcase  
05/07 Participation 6: Favorites
    05/15 Final Project Demonstrations  
05/15 FINAL PROJECT