This course presents a survey of recent research on building efficient systems for managing and exploring massive amounts of digital data. This course focuses on systems issues such as distributed search systems, storage systems, peer-to-peer systems, as well as practical uses of Bloom filters, sketching, and indexing techniques. Domain-specific data management and analysis, such as those in multimedia retrieval, bioinformatics, and scientific computing, are also covered.
This course is open to both Ph.D. students and M.S. students. Students are expected to read papers, write paper reviews, participate in discussions, present papers, and finish a course project.
| Meeting time | Tu Th 12:50-2:10pm |
|---|---|
| Location | Computer Science 1441 (see Map) |
| Instructor | Qin (Christine) Lv |
| Office hours | Tu 2:10-3:00pm or by appointment |
| Class participation | 20% |
|---|---|
| Paper review | 20% |
| Paper presentation | 20% |
| Course project | 40% |
Intellectual honesty is the cornerstone of all academic and scholarly work. Therefore, the University views any form of academic dishonesty as a serious matter. Detailed procedures for hearings and other functions at the judiciary processes are available in the Graduate School or in the Graduate School Policy Manual, which may be found at www.grad.sunysb.edu.
If you have a physical, psychological, medical or learning disability that may impact on your ability to carry out assigned course work, I would urge that you contact the staff in the Disabled Student Services office (DSS), Room 133 Humanities, 632-6748/TDD. DSS will review your concerns and determine, with you, what accommodations are necessary and appropriate. All information and documentation of disability is confidential.
