040423 UK Enterprise Resource Planning Systems 1 (2019W)

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).

Registration is open from Mo 16.09.2019 09:00 to Mo 23.09.2019 12:00
Deregistration possible until Mo 14.10.2019 12:00

Details

max. 30 participants

Language: German

Lecturers

Martin Bergner

Classes (iCal) - next class is marked with N

    
    Saturday
    09.11.
    08:00 - 16:30
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Saturday
    23.11.
    08:00 - 16:30
    Hörsaal 7  Oskar-Morgenstern-Platz 1  1.Stock
    
    Saturday
    30.11.
    08:00 - 16:30
    PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Saturday
    07.12.
    08:00 - 16:30
    PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Saturday
    14.12.
    08:00 - 16:30
    PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Monday
    16.12.
    08:00 - 16:30
    PC-Seminarraum 1  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Saturday
    18.01.
    08:00 - 13:00
    PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Friday
    24.01.
    09:45 - 11:15
    Hörsaal 12  Oskar-Morgenstern-Platz 1  2.Stock
    
    Saturday
    25.01.
    08:00 - 09:30
    Hörsaal 6  Oskar-Morgenstern-Platz 1  1.Stock

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.

Lecture notes / material collection is available at the DKE Chair
(wiwi.dke.univie.ac.at)

Association in the course directory

Last modified: Mo 07.09.2020 15:19