Data Visualization: Conveying Information through Visual Representations
June 17–18, 2013
Using visuals to analyze and understand big data
The amount and complexity of information produced in science, engineering, business, and everyday human activity is increasing at staggering rates.
This program introduces you to data visualization tools, methods, and techniques that increase the understanding of complex data. Good visual interpretations of data improve comprehension, communication, and decision making.
What you will learn
- How data vizualization helps in the analysis and understanding of complex data
- How the human visual system processes and perceives images
- How to critique visualizations and identify the design principles used to create them
- Good design practices for visualization
- Various visualization approaches for different data types
- Design principles
- Statistical graphs
- Trees and networks
- High-dimensional data
- Data visualization tools
Who should enroll
The program is open to anyone who is interested in the visual analysis of data. Programming experience is not necessary.
Video: Professor Hanspeter Pfister discusses the program
You are encouraged to bring a wireless laptop.
Hanspeter Pfister is the Gordon McKay Professor of Computer Science at Harvard. His research lies at the intersection of visualization, computer graphics, and computer vision. It spans a range of topics, including scientific visualization, point-based graphics, appearance acquisition, GPU computing, and 3D displays. Pfister also offers his semester-long courses online at Harvard Extension School, where he won the Petra T. Shattuck Excellence in Teaching Award in 2009.
Before joining Harvard he worked at Mitsubishi Electric Research Laboratories as an associate director and a senior research scientist. Pfister has a PhD in computer science from the State University of New York at Stony Brook and a master’s in electrical engineering from the Swiss Federal Institute of Technology, Zurich.