Universität Wien

040423 UK Enterprise Resource Planning Systems 1 (2020W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Zur endgültigen Lehrveranstaltung-Aufnahme ist ein pünktliches Erscheinen zur Vorbesprechung/1.LV-Einheit notwendig. Unentschuldigtes Fernbleiben führt zum Verlust des Lehrveranstaltung-Platzes.
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 06.10. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 13.10. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 20.10. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 27.10. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 03.11. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 10.11. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 17.11. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 24.11. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 01.12. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 15.12. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 12.01. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 19.01. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 26.01. 11:30 - 13:00 Hybride Lehre
    Hörsaal 5 Oskar-Morgenstern-Platz 1 Erdgeschoß

Information

Aims, contents and method of the course

Companies use many different IT-systems. For their effective usage an independent consideration is not sufficient.
Whether on-premises architecture or modern cloud platforms - in the context of use, typically processes in which IT-systems are used, the resulting or acquired data, as well as the IT systems themselves, must be considered.

Gaining a theoretical understanding of following concepts and their implication for business practice:
- IT-systems (kinds and usage)
- cloud computing (IaaS, PaaS, SaaS)
- integration
- data processing and data analysis
- basics of machine learning and artificial intelligence
in their interdependencies for modern companies and organisations also reflecting economic potentials and inherent risks.
In this course there will be worked on a practical machine learning example using Python notebooks.

Assessment and permitted materials

- cooperation in class
- data exercise with presentation
- final test

Minimum requirements and assessment criteria

- data execise (50%), which is made up of
-- written summary (50%)
-- presentation of results (50%)

- written examination (50%)
========================================
= 100%
+ possible bonus points (only in case of positive advance with a maximum of 5%)

The course is classified and performed as "prüfungsimmanent" - insofar there is compulsory attendance! I.e. 2 missing units (lesson units), except for practical course session(s)! Further apologies are NOT accepted! If you stay away from the course more often, you will get graded with "Nicht genügend".

grading scale:
100,00 % 88,00 % 1
87,99 % 75,00 % 2
74,99 % 63,00 % 3
62,99 % 50,00 % 4
49,99 % 0,00 % 5

Examination topics

- lecture
- discussion
- data exercise
- presentation

Reading list

- Laudon et al. (2010): Wirtschaftsinformatik - Eine Einführung, 2. aktualisierte Auflage, Pearson Studium, München.
- Schubert, P., Wölfle, R., Dettling, W., Hrsg.(2003): E-Business Integration, München, Wien: Hanser.

Skriptum/Materialiensammlung zur Lehrveranstaltung ist am DKE Lehrstuhl erhältlich (wiwi.dke.univie.ac.at)

Association in the course directory

Last modified: Fr 12.05.2023 00:12