Text: Ramakrishnan and Gehrke, Database Management Systems, 3rd ed.
Office hours: 3:00-4:00, Tuesdays
Location: 576 Levine Hall N (a.k.a. GRW building)
Dinkar Gupta, firstname.lastname@example.org
Office hours: 12:30-1:30, Mondays, Moore 459
Data management is a very broad field, covering a range of topics from data modeling to systems design to logical models and computational complexity. This class provides an introduction to the field, providing a foundation in the theory of relational and XML data design and the basics of query languages, two-tier architectures, schema mediation, database tuning, and database systems design. The course is not merely about using a database, but also understanding how they work, how they can be made to interoperate, and what are current research topics.
This course will demand considerable skill and experience in logic and algorithmic thinking, and due to the breadth of the field, it will move very rapidly across a variety of subjects. All students should have significant prior experience in programming (at least one academic year or equivalent suggested, plus CIS 500 or equivalent).
format will be two one-and-a-half-hour lectures a week, plus assigned readings
from the textbook and supplementary materials. For
supplemental reading, a one-page summary/review of each paper must be posted to
the course newsgroup at least one hour prior to class. There will be
regular homework assignments and a term project, plus a midterm and a final
As is usual, your final grade will be comprised of scores on homework assignments, class participation, exams, paper reviews, and the course project. Breakdown: homework 30%, midterm 10%, final 20%, project 30%, summaries/commentary 5%, participation/intangibles 5%.
Supplemental Textbooks (with links to Amazon)
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