IV1023 Advanced Information Handling with XML 7.5 credits

Avancerad datahantering med XML

This course focuses on data storage using XML and covers many related technologies for managing XML data. The course covers different standard techniques for compositions of XML, transformations between relational data and XML data, as well as query language for XML.

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Offering and execution

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Course information

Content and learning outcomes

Course contents *

  • Semistructured data and XML data (models, representations, schemas).
  • Query languages for semistructured data and XML data.
  • Techniques for composition of XML-data and transformations between relational data and XML-data.
  • Applications of XML data.

Intended learning outcomes *

Having passed the course, the student shall be able to:

  • explain, discuss and use different technologies for managing XML-data and semistructured data in general.
  • use different techniques for composition of XML-data and transformations between relational data and XML-data.
  • use query languages for XML data and semistructured data.

Course Disposition

Lectures, lessons, practical assignments, seminars.

Literature and preparations

Specific prerequisites *

Basic knowledge of database modeling and relational databases (course IV1351 or equivalent).

Recommended prerequisites

Basic knowledge of database modeling and relational databases. (Course IV1351 or equivalent)


Windows compatible computer


Querying XML, Jim Melton and Stephen Buxton, Morgan Kaufmann, 2006, ISBN: 9781558607118

Examination and completion

If the course is discontinued, students may request to be examined during the following two academic years.

Grading scale *

A, B, C, D, E, FX, F

Examination *

  • LAB1 - Laboratory Work, 4.5 credits, Grading scale: A, B, C, D, E, FX, F
  • TEN1 - Examination, 3.0 credits, Grading scale: A, B, C, D, E, FX, F

Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.

The examiner may apply another examination format when re-examining individual students.

Other requirements for final grade *

To pass the course, the student needs to pass on both the written examination and the laboratory tests. Final course grade is based on the grades of the two examinations together.

Opportunity to complete the requirements via supplementary examination

No information inserted

Opportunity to raise an approved grade via renewed examination

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Nikos Dimitrakas

Ethical approach *

  • All members of a group are responsible for the group's work.
  • In any assessment, every student shall honestly disclose any help received and sources used.
  • In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.

Further information

Course web

Further information about the course can be found on the Course web at the link below. Information on the Course web will later be moved to this site.

Course web IV1023

Offered by

EECS/Computer Science

Main field of study *


Education cycle *

First cycle

Add-on studies

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Supplementary information

In this course, the EECS code of honor applies, see: http://www.kth.se/en/eecs/utbildning/hederskodex.