Syllabus

Titel
0612 Corporate IT I - Information Structures
LV-Leiter/innen
Dr. Helena Lovasz-Bukvova
Kontakt
  • LV-Typ
    PI
  • Semesterstunden
    2
  • Unterrichtssprache
    Englisch
Anmeldung
04.09.2018 bis 01.10.2018
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Bachelor
Termine
Wochentag Datum Uhrzeit Raum
Mittwoch 03.10.2018 09:00 - 10:00 TC.3.06
Mittwoch 10.10.2018 13:00 - 17:30 D3.0.233
Mittwoch 17.10.2018 09:00 - 13:30 D2.0.326
Mittwoch 24.10.2018 09:00 - 13:30 D1.1.078
Mittwoch 07.11.2018 09:00 - 13:30 D2.0.030
Mittwoch 14.11.2018 09:00 - 13:30 TC.3.05

Inhalte der LV

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.

Lernergebnisse (Learning Outcomes)

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.

Subject-related skills

  • 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

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

Regelung zur Anwesenheit

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.

Lehr-/Lerndesign

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.

Leistung(en) für eine Beurteilung

This course is based on the idea that the participants are the decision makers in the course, who govern their learning according to their own needs. The assessment format takes it into account.The overall principle is that of performance-based assessment: you have to demonstrate certain abilities to gain points, but you are free to choose your assessment in a mix-and-match fashion.

  • The participants are expected to prepare for each unit. Part of the preparation is an online test. (6 tests, 5 points each = up to 30 points)
  • In the units, the participants try their skills in written challenges, each focusing on the unit topic. (6 challenges, 10 points each = up to 60 points)
  • The participants apply their skills in a project that relies on real-world case studies. (5 project tasks, 10 points each = up to 50 points)
  • The participants can choose to learn more, going beyond the topic and developing their project further in an advanced project. (5 advance projects, 10 points each = up to 50 points)

The assessments build on each other: Only after writing a test can you attempts the challenge, after that you can do the project. The advanced projects can only be attempted if you have attempted the project and earned at least 15 points on the topic.

Grades

The grading system is closely aligned to the assessment methods. The scale is non-linear, representing different levels of achievement:

  • under 50 points     5 (fail)
  • under 60 points      4
  • under 75 points      3
  • under 90 points      2
  • 90 points or more   1

Teilnahmevoraussetzung(en) und Vergabe von Wartelistenplätzen

  • 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

    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.

    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.

    Empfohlene inhaltliche Vorkenntnisse

    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).

    Erreichbarkeit des/der Vortragenden

    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

    Is this for me?

    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.
    Zuletzt bearbeitet: 07.09.2018



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