The collection and management of data plays an important role in today’s organisations. Increasingly, the importance of management of information and knowledge are also recognised. The understanding of mechanisms and ideas behind data and information management is an important skill in nearly all professions, as it helps to increase the personal as well as the organisational efficiency. This course aim is to furnish an in-depth understanding of the principles and key languages behind data and information collection, structuring, and retrieval, together with knowledge of their practical application.

In the course, we will address the following topics:

• different possibilities of structuring data, their application as well as advantages and disadvantages
• relational data structures, including the design of relational databases and data retrieval with SQL
• encoding non-relational structures with XML (this includes also defining data structures with DTD and XSD) and HTML (this includes also CSS)
  
• transforming XML-encoded information into different data formats with XSLT
  
• management and retrieval of unstructured information (Information Retrieval)
• introduction to Semantic Web and related information structures
  

After attending this course, you will be able to understand, describe and judge key approaches to data and information management.

Subject-related skills

• distinguish different approaches to structuring data, information, and knowledge
  
• design relational databases and write SQL-queries to retrieve data
• define structures of XML using DTD and XSD and create XML-files
• design HTML-pages
• transform XML using XSLT
  
• understand key principles of information retrieval, such as Boolean logic in search expressions and Web Information Retrieval
• understand key ideas of the Semantic Web
  

Soft-skills

• ability to autonomously collect, filter, and structure information on a previously unknown subject
• ability to assess own strength and weaknesses and adjust practices accordingly
• experience with designing own learning processes
• practice with decision making and planning

The aim of this course is not only to provide you with relevant theoretical knowledge, but also to enable you to put what you have learned into practical use. The design of the course reflects this, combining phases of knowledge acquisition with exercises and practical application. The instructor takes a part of a mentor, rather than a teacher; hence the course is driven by your active participation and learning needs. The learning activities can be divided into autonomous preparation, unit activities and project work.

• Autonomous preparation. The course area on Learn@WU provides the participants with materials for autonomous preparation. The participants are expected to work through these materials on their own in preparation for the presence units.
• Unit activities. In each unit (these can be better described as labs), the participants will take part in repetition and self-tests that will help them to better assess their own progress. Then they can decide whether they wish to engage in further learning and practice, if they wish to put their knowledge to a test (see Assessment) or if they want to get started on project work. The different activities are available in the form of learning stations, so that the participants have the freedom to tailor the presence labs to their own learning needs.
• Project work. While parts of the assessed activities are carried out in the units (see assessment), the project work is of a complexity that needs a greater time investment. Although the participants are invited to carry out parts of the projects work in the units, according to their interest, they are likely to need further work after the units.
  

As the course covers a large number of topics within a very short period of time and with only 5 presence units, you will be expected to invest a considerable amount of time into autonomous learning. You can expect to invest up to 100 hours learning time (as adequate for 4 ECTS points), if you have no previous knowledge of the topics and wish to get a top grade. The workload can be roughly divided into following parts (the exact amount of time necessary will depend of your background and your learning style):

• approx. 25 hours presence learning (20% compulsory attendance, but full attendance is strongly advisable)
  
• up to 40 hours autonomous theoretical preparation and practice
  
• up to 35 hours (ideally spread out evenly throughout the term) for project work

• Courses: GK1 Grundzüge der ITK (Foundations in ICT)  - this is a fixed restriction that cannot be waived under any circumstances!
• Administrative: Registration in the LPIS, attendance of the first unit, participation in course planning

Please note:

• The number of available places is limited and there is often a list of students waiting for free places. If you have signed up for the course and during the registration period find out you will not attend, please remove your name from the list via LPIS. This will make your place available to others.
• The assignment of available places in the course is based on the „first-come, first-served" principle.
• The participation in the first unit is mandatory; students who fail to come forfeit their place to students on the waiting list. Students can excuse themselves if the reason for missing the first unit is serious and will concern only the first unit.

Lecturer:   Helena Lovasz-Bukvova

E-Mail:      helena.lovasz-bukvova@wu.ac.at

Room: D2.2.078 (Building D2, entrance C)

Schedule appointment: http://www.meetme.so/helenabukvova