New Course: ECS 166 Scientific Data Management
Announcing ECS 166 - Scientific Data Management
Instructors: Michael Gertz and Bertram Ludaescher
Lecture: TR 1:40 - 3:00, 176 Chemistry
Discussion: W 4:10 - 5:00, 166 Chemistry
CRN: 53682 (4 units)
What is scientific data management? What models, tools, and techniques are available? What roles do databases (relational and non-standard) and metadata play? How to take advantage of XML and related technologies? What are ontologies and how do they facilitate data & process integration? How can data analysis and data transformation steps be composed into scientific workflows? How to deal with the particulars of biological, (geo-)spatial, temporal, and other types of non-standard scientific data?
In this class, we will give an overview of selected topics in scientific data management, and address these and related questions. Core topics include: database support for scientific data management; Types of scientific data: structured, unstructured, temporal, spatial, image, text; Relational databases & SQL; XML; Ontologies and metadata; Scientific Workflows; Data management and processing systems that will be covered in class include MySQL, PostgreSQL, the GIS GRASS, and the Kepler Scientific Workflow System.
The class consists of lectures, homework assignments, and hands-on projects, including database design, application and workflow development on top of open-source databases and tools in a Linux/Windows environment.
For further inquiries, please contact Dr. Michael Gertz and Dr. Bertram Ludscher. An extended course description can be found on the Department of Computer Science website