CSCI 581 Section 1 - Scientific Data and Visualization
Scientific data comes from a variety of sources. Satellites produce terabytes of geospatial data each day, while mechanical and aerospace engineers run simulations of ignition data and fluid flow over a surface to create more efficient engines and airplane wings. Doctors use CT and MRI data to diagnose patients and find tumors. In all of these cases, producing an effective visual representation of the raw data is an important and necessary part of the process of understanding the significance of a dataset. However, increasingly large dataset size and complexity presents a growing bottleneck for the visualization of scientific data.
This course is an overview of issues relating to representation, handling, and visualization of scientific data. Topics include 2D and 3D visualization techniques, data formats for representation of regular and unstructured scientific data, and multidimensional access methods.