Databases and Information Systems
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Data Analysis and Query Languages


[27.05.2015, 12:00] The date for the oral exam has been set. See information below.

[24.04.2015, 12:00] DAQL-SS15 is now online on ILIAS. Here.

[21.04.2015, 11:30] Inconsistency in HisInOne was fixed. You should now be able to see the correct schedule.

[20.04.2015, 16:20] The schedule shown below is inconsistent with HisInOne. The correct schedule is the one shown here.


Prof. Georg Lausen


Anas Alzoghbi and Victor Anthony Arrascue Ayala

Course Contents

The lecture covers a variety of topics on data analysis and query languages, mostly focussing on web data.
  • Big Data on the Web
  • Detecting Similar Items
  • Web Link Analysis
  • Web Data Model RDF and Query Language SPARQL
  • Recommender Systems
  • Matrix Dimensionality Reduction
  • Mining Social Network Graphs
  • Extracting Information from Data


Slides, exercise sheets and other material can be found in ILIAS.

Necessary Prerequisites

The key course (Kursvorlesung) 'Databases and Information Systems' or an equivalent Database course.

Time, Location and Organization:

Lecture: Wednesday 10am - 12am and Friday 2pm - 4pm (in case there is no tutorial scheduled)

Tutorials: Friday 2pm - 4pm (in case there is no lecture scheduled)

Location: Geb. 052 - SR 02-017

Language: English

ECTS: 6 Points

Program of Study: Bachelor CS, Master CS/ESE, Lehramt Informatik

Exam modality: oral exam


  • Tutorials will take place on Fridays as announced (the first session will take place on 08.05.2015).
  • Exercises will consist of theoretical and pratical tasks.
  • Pratical tasks require some programming proficiency but this will be very helpful to directly apply the learnt knowledge.
  • 50% of the overall points as a prerequisite for the exam.

Oral Exam

You have to submit at least 50% of the requested exercises to be qualified to take the exam.

The oral exam will take place on August 24th and 25th, 2015, 09:00-12:00 and 14:00-17:00
Place: Building 51, Room 01-025

Literature and Additional Material

  • Anand Rajaraman and Jeffrey David Ullman. 2011. Mining of Massive Datasets. Cambridge University Press, New York, NY, USA. Publisher. Download (see terms of use).
  • Mohammed J. Zaki, Wagner Meira, Jr., Data Mining and Analysis: Fundamental Concepts and Algorithms, Cambridge University Press, May 2014. ISBN: 9780521766333. Publisher.