040174 KU Introduction to Business Analytics (BA) (2022W)
Continuous assessment of course work
Labels
ON-SITE
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 12.09.2022 09:00 to Fr 23.09.2022 12:00
- Deregistration possible until Fr 14.10.2022 23:59
Details
max. 50 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
This class will be offered on-site and online. All live appointments will be streamed through Moodle/Zoom. You can participate on-site or online with a microphone/camera.
- Tuesday 04.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 06.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Tuesday 11.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 13.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Tuesday 18.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 20.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Tuesday 25.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 27.10. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 03.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Tuesday 08.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 10.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Tuesday 15.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 17.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Tuesday 22.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 24.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Tuesday 29.11. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
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Thursday
01.12.
15:00 - 16:30
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 1, Kolingasse 14-16, OG01 - Tuesday 06.12. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Tuesday 13.12. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 15.12. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Tuesday 10.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 12.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Tuesday 17.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 19.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Tuesday 24.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
- Thursday 26.01. 15:00 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
Information
Aims, contents and method of the course
Assessment and permitted materials
1. homework assignments (20%): (1) N.N.; (2) N.N.
2. midterm exam (40%): 01.12.2022, 15:00-16:30
3. final exam (40%): 26.01.2023, 15:00-16:30
2. midterm exam (40%): 01.12.2022, 15:00-16:30
3. final exam (40%): 26.01.2023, 15:00-16:30
Minimum requirements and assessment criteria
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
[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
- 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: We 22.05.2024 00:08
- 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.