184.705 Semistructured Data
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021S, VU, 2.0h, 3.0EC


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • Format: Distance Learning

Learning outcomes

After successful completion of the course, students are able to...

  • explain the differences between semi-structured and structured data.
  • apply the XML-technologies cover by the lecture to concrete problem settings.
  • detect the limitations of XML-technologies in concrete problem setting.
  • explain the differences between the XML-Schema language discussed in the lecture.
  • explain the differences between the XML-Query languages discussed in the lecture.
  • explain the differences between the XML-APIs discussed in the lecture.

Subject of course

  • XML
  • XML schema languages (DTDs, XML Schema)
  • XML query languages (XPath, XQuery, XSLT)
  • XML-APIs (parsers, XSLT-processor)

Teaching methods

  • The lecture introduces XML and related standards and explains them using examples.
  • There are exercises that deepen the students' understanding of the concepts introduced in the lecture.
  • There will be question hours with the tutors spread over the time before the submission dates.
  • The exercise mainly consists of programming tasks and accounts for 25% of the overall grade.
  • In order to create the same prerequisites for submission for all students, there is a uniform submission date for all students followed by the submission interviews.
  • During the submission interviews, the examples are checked for correctness, but especially for understanding, and feedback is given accordingly.

 *********Distance Learning*************
Due to the COVID-19 crisis, this course will be held on-line using the TUWEL platform. On a weekly basis the students will receive videos of lectures on all topics of the course. Exercises will be managed using TUWEL, while the exercise discussions with tutors will be held online using Zoom. A discussion forum on TUWEL will be used to answer student questions and to clarify issues. In case some issues cannot be clarified on TUWEL, Zoom meetings with the students will be organized. 

Examination form: Online written exam on paper. The examiners and the students are permanently connected via  audio and video in a online meeting. At the end of the exam, the students must scan or take pictures of the written exam and upload it to TUWEL within the time specified by the examiner (approx. 5 minutes).


Mode of examination


Additional information

Questions about the course

are only guaranteed to be answered if sent to ssd@dbai.tuwien.ac.at.
Notice that, messages where the subject does not start with "SSD:" might be considered spam.

ECTS Breakdown:

24h lectures
24h exercises
 1h exercise interviews
24h exam preparation
 2h exam

75h (3 ECTS)




Examination modalities

The final evaluation is based on the performance at the exercises (25%) and a written exam (75%). It is mandatory to pass the exam in order to positively complete the course.


DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Thu13:00 - 15:1525.11.2021 Online written exam on paperwritten01.11.2021 00:01 - 23.11.2021 23:55TISSSemistructured Data Exam
Thu13:00 - 15:1513.01.2022 Online written exam on paperwritten15.12.2021 00:01 - 11.01.2022 23:55TISSSemistructured Data Exam

Course registration

Begin End Deregistration end
12.02.2021 00:00 18.03.2021 23:59


Study CodeSemesterPrecon.Info
033 526 Business Informatics 4. SemesterSTEOP
Course requires the completion of the introductory and orientation phase
033 532 Media Informatics and Visual Computing STEOP
Course requires the completion of the introductory and orientation phase
033 534 Software & Information Engineering STEOP
Course requires the completion of the introductory and orientation phase


No lecture notes are available.

Previous knowledge

  • basic programming skills in Java
  • knowledge of the course Data Modelling or the course Data Base Systems, in particular: relational data model, SQL

Preceding courses

Accompanying courses