Tuesdays & Thursdays, 1:00pm - 2:15pm (@ Sennott Square Building, Room 5313)
Target audience:
Mix of Comp-Sci and non-Comp-Sci graduate students interested in scientific data management.
Instructor: Alexandros Labrinidis (http://www.cs.pitt.edu/~labrinid)
Course goals:
This is intended to be an interdisciplinary seminar, where CS and non-CS folks meet to discuss technologies and challenges related to scientific data management.
We will go beyond the traditional database (store-than-query using SQL) paradigm and discuss topics such as:
- data-driven scientific discovery and exploration
- large scale data management
- row vs column vs array stores
- map/reduce and cloud computing
- workflow systems
- data stream/publish-subscribe systems
- the role of web services
- the role of visualization
This is *not* a course to learn SQL or design databases. You should consider taking CS1555 (CS2055 for graduate students) instead.
Prerequisites:
None officially. However, you are expected to have some background in (scientific) data management in order to contribute/participate in the seminar. This could be either as a technology "provider" (e.g., if you are in CS you should have taken a database course, preferably CS2550) or as a technology "user" (e.g., if you are not in CS, you should be dealing with lots of data for your research).
Course format:
- Lectures
- Presentations by students (on technologies or on challenges)
- Discussions
- Group Projects
- No exams
Please contact the instructor directly if you are interested in this course.
