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.

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

• The lecture introduce XML and related standards and explains them using examples.
• There are exercises that deepen the students' understanding of the concepts introduced in the lecture.
• The exercises will be discussed in the lecture before they start.
• 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.

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)
----------------------------------

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.

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