| Role: | Name | Office & Hours | Phone | |
|---|---|---|---|---|
| Instructor: | Prof. S. Shekhar | EE/CS 5-203,
Tue. 5:30-6:30PM |
624-8307 | shekhar@cs.umn.edu |
| TA: | Sangho Kim | EE/CS 5-202,
Thu. 1:00-2:00PM |
626-7703 | sangho@cs.umn.edu |
Examinations and Assignments: The main objective of this class is to study research methods and literature in database systems. Core research skills of literature analysis, innovation, evaluation of new ideas, and communication are emphasized via homeworks and projects.
Various acivities in a research seminar courses are linked to the goals of the audience. Many students may like to get a broad overview of the research topics, methodologies, major results, open problems and potential future directions. In-class written examinations on survey papers from the reading list will be useful towards this purpose.
Ph.D. students in this course may benefit from analyzing research papers towards the Written Preliminary Examination. Potential sources for the paper would be conference proceedings or journals such as those listed above.
Honors undergraduate students as well as graduate students in the course may benefit from innovative projects similar to those for their thesis requirements. A innovative project broken down in several steps will be relevant here. The course project would entail 50+ hours of work towards meeting the Plan C requirement for M.S. students.
Cheating/ Collaboration: Getting help from services like general debugging service (GDS), buying term papers from web-sites (e.g. cheaters.com), copying someone else's assignment, or the common solution of written or programming assignments will be considered cheating. The purpose of assignments is to provide individual feedback as well to get you thinking. Interaction for the purpose of understanding a problem is not considered cheating and will be encouraged. However, the actual solution to problems must be one's own.
Helpful Comments: This class is Very Interesting and Useful for audience interested in database systems research as well as in honors/Master/Doctoral projects. We will explore a number of current research areas which are very important yet fairly open for research. Databases continue to be the heart of information management in areas ranging from business to scientific domains (e.g. "Science in an Exponential World", The Center of the Universe,