Universität Wien
Warning! The directory is not yet complete and will be amended until the beginning of the term.

040174 KU Introduction to Business Analytics (BA) (2023W)

4.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
ON-SITE
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. 50 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Pleaso also consider the schedule published in Moodle. The first appointment will be on Oct 5th.

  • Thursday 05.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 10.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 12.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 17.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 19.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 24.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 31.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 07.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 09.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 14.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 16.11. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 21.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 23.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 28.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 30.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 05.12. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 07.12. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 12.12. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 14.12. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 09.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 11.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 16.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 18.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Tuesday 23.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 25.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 30.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01

Information

Aims, contents and method of the course

Students will
- gain understanding of the role and use of information systems, in particular decision support systems, in business administration,
- gain an insight into object-oriented programming and are able to implement basic programming tasks in the environment of standard business software,
- be able to develop and implement simple database models for operational and historical databases,
- develop understanding of the basic tasks of business analytics.

Assessment and permitted materials

1. homework assignments (20%): (1)Sun, 05.11.2023; (2) Sun, 14.01.2024
2. midterm exam (40%): Thu, 16.11.2023, 15:00-16:00, no particular tools allowed, except for Microsoft Excel.
3. final exam (40%): Thu, 25.01.2024, 15:00-16:00, no particular tools allowed.

The use of AI tools (e.g. ChatGPT) for the handling of tasks is only permitted if they are expressly requested by the course leader (e.g. for individual work tasks).

Minimum requirements and assessment criteria

In total, 100 points can be achieved (relative proportions see above). The overall assessment is based on the following grading scale (in %):
[88,100]: 1
[76,88[ : 2
[63,76[ : 3
[50,63[ : 4
< 50 : 5

Examination topics

- Development of operational information systems
- Modeling, construction and query of relational databases
- Modeling, construction and query of data warehouses
- Introduction to business analytics and data mining

Reading list

Laudon, K., Laudon, J., Schoder, D.: Wirtschaftsinformatik: Eine Einführung. 2. Auflage, Pearson, 2009

Association in the course directory

Last modified: Tu 21.05.2024 09:25