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, you are free to choose from a number of topics in order to gain the skills that are most relevant for you:
- Information Structuring: being able to select and apply suitable methods for the design of corporate information structures
- Tree structures: describing data as tree structures using XML as well as JSON
- Web design: displaying data in Web using HTML and CSS
- Retrieval and transformation: retrieving, manipulating, and transforming data from tree structures using XSLT and DOM
- Information Retrieval: evaluating problems connecting to the retrieval of unstructured information
- Semantic Web: describing semantic structures with RDF
The focus of this course is on theoretical understanding as well as practical application. The course structure also allows the participants to place their own focus on particular areas.
After attending this course, you will be able to understand, describe and judge key approaches to data and information management. Depending on the topics you choose, you will gain a different set of skills. The following skills can be gained through the course.
- Information Structuring: distinguishing different design approaches, evaluating and selecting a suitable one, and applying it in a given context
- Tree structures: designing tree structure, writing XML documents, describing XML structures using DTD and XSD, writing JSON documents, describing JSON structures using JSON schema
- Web design: interpret HTML, write HTML pages, format HTML pages through CSS
- Retrieval and transformation: retrieve XML information using XPath, manipulate and transform XML information using XSLT, retrieve and use tree-structured information using DOM
- Information Retrieval: explain how search engines work and evaluate their efficiency, write complex search queries,
- Semantic Web: assess potential and risks of semantic web, identify and describe semantic technologies, describe semantic structures using RDF
- 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
Following attendance is mandatory:
- attendance in the introductory unit (else you will lose the place in the course)
- attendance of 20% of the learning units (that's at least one full unit)
Please note that some of the assignments can only be done in the units.
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.
There are six learning topics to choose from and different depth of knowledge to reach in each. You can decide for yourself what you want to learn and how well you want to master it. Depending on this, you can engage in the following learning activities: 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. They can develop their knowledge of the topic further and put it to test or get started on the project. The exact content of the presence unit is driven by the students' needs and level of preparation.
- Project work. While parts of the assessed activities are carried out in the units, 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.
Workload: 4 ECTS = up to 100 hours for grade 1
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.
The workload for each unit can be roughly divided into following parts (the exact amount of time necessary will depend of your background and your learning style):
- 5-10 hours preparation
- 4.5 hours presence learning (20% compulsory attendance, but full attendance is strongly advisable)
- 5-10 hours (ideally spread out evenly throughout the term) for project work
Please note: This is not a difficult, but a very demanding course. The course format requires a high level of time-management, self-discipline and interest in learning.
- Courses: GK1 Grundzüge der ITK (Foundations in ICT) for WU students attending the specialisation - this is a fixed restriction that cannot be waived under any circumstances!
- Recommended: BIS I, BIS II (see also recommended previous knowledge and skills in the syllabus)
- Administrative: Registration in the LPIS, attendance of the first unit, participation in course planning
- 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.
Students who are absent on the first session without bringing an absent note lose their place in the course. This place will be allocated to students in the waiting list who come to the first session according to the waiting list order.
The following knowledge is expected in this course.
- You need a basic understanding of the role of information systems in organisations in general, such as their use in corporate value-chain and Supply Chain Management.
- You need to know what relational data structures look like and what properties they have.
- You need to be able to interpret graph-based structure.
At the WU, these topics are covered in the course BIS I and BIS II as well ICT basics.
If you are not or no longer familiar with the above topics, there will be a preparatory course material that you can use to catch up on your own.
Above all, you should be open to learning about technical issues and willing to try them out yourself (even if you think that you are not technical).
Lecturer: Helena Lovasz-Bukvova
Room: D2.2.078 (Building D2, entrance C)
Schedule appointment: http://www.meetme.so/helenabukvova
This is a course for everyone who not only wants to know about data and
information structuring, but who actually wants to be able to sit down
to a computer and apply the new-learned knowledge. The course welcomes
participants from very different backgrounds (with existing IT skills or
even totally without), as it provides a very very flexible learning
structure. Participants should take into account the high learning
effort that is associated with this course as well as the fact that it
requires you to learn and work autonomously. Those who are not afraid to
invest their time and get their hands dirty can expect to gain an array
of new skills, and even discover their hidden IT talent.