1 1 The Databases Specialisation: Advanced Databases; Current Trends in Databases Bettina Berendt September 2009 Katholieke Universiteit Leuven, Department of Computer Science

2 2 Role of these two courses in the curriculum n Advanced Databases (6 SPs) l Mandatory for people who take the Databases specialisation l Open to everybody else n Current Trends in Databases (6 SPs) l Optional l Requirements: Advanced Databases and/or Text-based Information Retrieval (  the other mandatory course in the specialisation)

3 3 Top-level questions What makes data powerful? How does science work?

4 4 Style of these two courses n Advanced Databases l Mode: Lecture + exercises l Materials: Extensive slideset + original literature (mostly basic) l Evaluation: ongoing, homeworks (models, programs, reports, oral presentations, peer-review) n Current Trends in Databases l Mode: –The Database specialisation‘s equivalent of Capita Selecta –Mini-workshops together with U Antwerp and U Hasselt, mixed student teams l Materials: Original literature (basic to advanced) l Evaluation: ongoing, presentation and co-presentation, teamwork exercises, discussion, written homework

5 5 Who are we? (as of 2009/2010 +) Advanced Databases Current Trends in Databases Ilija Subašić Bettina Berendt Marie-Francine Moens Erik Duval Jan Van Den Bussche (UH) Alvaro Cortes- Calabuig (UA)

6 6 ADB: What makes data powerful? (1) A well-understood,mature and performant approach: relational databases n Conceptual model n Logical model n Physical model (and their implementations)

7 7 ADB: What makes data powerful? (2) „Where do our best customers live?“ SELECT cust.zip FROM cust,purchase WHERE cust.id = purchase.custID ORDER BY purchase.value combination inference

8 8 Data are powerful

9 9 Data are more powerful when combined/mined (1)

10 Data are more powerful when combined/mined (2)

11 Data are more powerful when combined/mined (3)

12 Data are more powerful when combined/mined (4)

13 Plan (last year  to be adjusted)

14 CTDB: 2009, 2010 editions 2010:

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16 Work style (1): More individual-oriented

17 Topics: Questions, starting literature, hints,...

18 Work style (2): More team-oriented To increase networking and cross-understanding: n between topics n between sites n between participants n between the sessions of the course, teams n work on a joint topic and create a wiki presentation n prepare questions for the plenum

19 ?