M259 Visualizing Information (4 units)


Prof. George Legrady
Weihao Qiu

Lecture/lab: Tues-Thurs 3:30pm-5:20pm Ellings Studio 2611
Office Hours: by appointment

M259 is a project-based course focused on techniques of information retrieval and algorithmic-based visualization. Course concentration on fundamentals of data visualization and design, with an emphasis on data query, data analysis and processing, and visualization in 3D interactive spatial visualization.

Data mining, Knowledge Discovery, Culture Analytics through MySQL
Goals: Discover unexpected, interesting patterns in a large dataset
Data Source: 98 million datasets of library check-outs/check-ins, Seattle Public Library source

3D Interactive Visualization
Goals: Design in 3D, interactive space, implement algorithms in java-based Processing
Data Source: 98 million datasets of library check-outs/check-ins, Seattle Public Library source

Student Defined Project
Goals: Student defined project building on skills acquired through previous assignments
Data Source: Student determined

Knowledge acquired through the course:
1) Learn to explore and retrieve significant data from a dataset with MySQL
2) Develop skills in the fundamentals of visual language expressed through programming
3) Visualize abstract data to reveal patterns and relationships
4) Normalize data to enhance legibility and coherence
5) Apply algorithms by which to organize data
6) Implement interactivity within 3D volumetric visualization
7) Correlate various data sources through JSON and APIs

Visual Fundamentals | 2D Graph (intro to Processing)

3D Starter demo | PeasyCam | csv_upload | 3D Basic

Lab & Individual Meetings

Student Work-in-Progress

Algorithms: Kohonen Wiki [demo] [original] | JSON | demo] | Co-Occurrence [code] [Wiki]
Visualize: Convex Hull Github [Wiki] [LuLiu] | 3D_automated_trajectory

Student 3D Project Presentation

Final Project Assignment | Dynamic Project Review
Tempoo | NOAA | Bren Data |

Lab and Individual Meetings (to discuss final projects)