Introduction to Database Design, Fall 2012
Taught by Rasmus Pagh. Teaching assistants: Balazs Toth, Io Boye Pinnerup, Ninh Pham.
This page contains the publicly available materials for the course.
Access to further resources is available to registered students in LearnIT.
See also the official course description.
Lectures are Fridays 10.00-11.50 in Aud. 4. In the schedule, RG refers to the textbook by Ramakrishnan and Gehrke.
Many exercises will be taken from the collection of exam problems, some of which have published solutions.
|31/8||Introduction, Relational data model (slides)||RG 1, 3.1, 3.2, 3.3, 3.4, 5.2|
|7/9||E-R modeling (slides)||RG 2, 3.5, 3.8, note|
|14/9||Normalization (slides)||RG 19.1, 19.2, 19.4, 19.5, 19.6, 19.7, 19.9|
|21/9||Modeling case study (case description)||work on hand-in|
|28/9||SQL (slides,sql)||[RG 4], RG 5, 3.6, 3.7||pdf, desired outputs|
|5/10||SQL continued; Indexes (slides,sql)||RG 5, RG 8.1,8.2,8.3,8.5|
|12/10||Query processing and tuning (slides); Performance case study (sql)||RG 12.1,12.2,12.4,12.5,12.6, RG 20||work on hand-in|
|26/10||SQL in applications; Transactions (slides, JDBC example, sql examples)||RG 6.1, 6.2, 6.3, 6.5, RG 16||pdf, JDBC .jar, .java|
|2/11||No lecture; Ninh office hours 10-11.30 in 4D27|
|9/11||OLAP (slides)||RG 25, [WOS04, sec. 1+2]||work on hand-ins|
|16/11||Guest lecture: Kennie Nybo Pontoppidan, Rehfeld (slides)|
|23/11||Data mining (slides)||RG 26, [CP05, sec. 1+2]|
|30/11||Infrastructures for big data (slides, video)||BigTable paper sec. 1-3, MapReduce paper sec. 1-2|
|7/12||Award ceremony (slides); Trial exam evaluation (January 2012, stats)|