Group Research Interests: Issues related to databases and knowledge management including:
Students in Data and Knowledge Management will typically come from both computer science and computer engineering backgrounds. They may be working toward M.Sc. or Ph.D. graduate degrees.
- Each student must take the set of courses required by their degree program and approved by their advisor.
- Students can select from the following courses in consultation with their advisor:
- 20 EECE 610 Database Management Theory or 20 CS 651: Database Theory
- 20 EECE 716: Semantic Web
- 20 EECE 717: Intelligent Knowledge Representation
- 20 EECE 752: Advanced Database
- 20 EECE 858: Data Mining
- 20 EECE 877: Advanced Data Models and Query Optimization
- 20 EECE 963: Data Warehouse Design
- In addition to these, the student's advisor may recommended courses from across the Computer Engineering and Computer Science Departments, the College of Engineering, and other departments such as Mathematics, Physics, Biology, etc.
- Informal seminars are conducted that students are encouraged to attend.
- New courses may be developed. Students will be encouraged to consider taking them.
Advice to students:
Students should find an advisor as soon as possible. The courses that a student might take vary from emphasis to emphasis. It is the joint responsibility of the student and their advisor to develop a course plan. Each student will be required to sign up with an advisor and develop a written plan by the end of their first Spring quarter.