|Instructor||Viswanath Gunturifirstname.lastname@example.org||Tues: 11:30 -- 12:30pm
Thurs: 2:00pm - 3:00pm
|Teaching Assistant||Kapish Malikemail@example.com|
|Teaching Assistant||Kanchanjot Kaurfirstname.lastname@example.org|
|Teaching Assistant||Harbeer Singhemail@example.com|
|Teaching Assistant||Aanchal Mongiafirstname.lastname@example.org|
|Teaching Assistant||Priyanka Guptaemail@example.com|
|Teaching Assistant||Naveen Kumarfirstname.lastname@example.org|
Topics: This course covers topics relating to components of a Database System including file structures, access methods, query processing and optimization, transactions, concurrency control, recovery, distributed databases, security and some trend topics (e.g., distributed databases, spatial databases, etc.). Please visit the schedule page for lecture slides and other relavant reading material provided by the instructor.
Required Work: This course would have four homeworks, two exams and two quizzes (best two out of three quizzes). Homeworks would have both written and programming components. Programming component of the homework would include questions requiring SQL or a high-level language. Homeworks can be done in a team of three, two or individual. In each homework, teams of size 3 would have to do some extra questions for the same weightage and the same deadline. Individual submissions and teams of size 2 would do same amount of work for the same deadline. Following is the distribution of weightage for each of the course deliverables:
Makeup Exam or Quiz Policy: Makeup exams will not be offered except in case of critical travel (e.g., paper presentation at a conference) that cannot be reschedules or medical emergency as documented by a doctor and approved by the academic office of IIITD. Make-up exams will cover significantly more syllabus than the original missed exam. For example, if you miss an exam or a quiz which covered 5 topis, then the make-up exam is likely to cover 10 topics.
Late submission policy on homeworks: All homeworks must be submitted within the specified deadline. However, we understand that it may not always be possible on part of students to do so. In order to accomodate this, we would allow at grace period of 24 hours where the students are allowed to submit with a score reduction of 30%. Within 24 hours and 48 hours, there would be a score reduction of 50% byond which the submission would not receive any score.
Policies from TAs:
Note: Academic dishonesty polcies of IIIT Delhi apply. Visit this link for more information.
Sample Database Management Systems: PostgreSQL, Oracle Database 11g, MySQL, IBM DB2
Resources on research literature include Proceedings of the Intl Conference on Data Engineering (ICDE), Proceedings of the ACM SIGMOD , Proceedings of Very Large Database Systems (VLDB), Proceedings of the Intl. Symposium on Spatial and Temporal Databases , IEEE Transactions on Knowledge and Data Eng. , and ACM Transactions on Database Systems.