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Detailed information |
Original study plan |
Bachelor's programme Business Informatics 2025W |
Learning Outcomes |
Competences |
The students are able to independently apply fundamental statistical methods relevant to business informatics. They can analyze data correctly using descriptive and inferential methods, and they can correctly interpret statistical analyses and results.
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Skills |
Knowledge |
- LO2: Students can compute and interpret univariate descriptive measures (K3).
- LO3: They can visualize data using appropriate charts (K3).
- LO4: They can calculate and interpret correlation coefficients (K3).
- LO5: They can compute and interpret simple linear regression models (K3).
- LO6: They can calculate and interpret probabilities, conditional probabilities, and probabilities for random variables (K3).
- LO7: They can apply common statistical distribution models and perform estimations (point estimations/confidence interval estimations) based on samples (K3).
- LO8: They can conduct and interpret simple statistical tests (K3).
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LO1: Descriptive statistics (measures of central tendency and dispersion, correlation coefficients, etc.); simple linear regression; probability theory (Bayes’ theorem, etc.); mathematical-statistical models and methods; inferential statistics (confidence intervals, etc.); test theory (t-test, etc.).
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Criteria for evaluation |
examination (45%), homework assignments (45%), short test (10%)
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Methods |
- Lecture by instructor
- Homework assignments
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Language |
German |
Study material |
- Scriptum and slides provided by instructor
- Bortz, J.: Statistik für Human- und Sozialwissenschaften
- Fahrmeir, L.; Künstler, R.; Pigeot, I.: Statistik – Der Weg zur Datenanalyse.
- Sachs et al., Angewandte Statistik
- Hartung, J.; Elpelt, B.; Klösener, K.-H.: Statistik: Lehr- und Handbuch der angewandten Statistik
- or any other introductory book to statistics
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Changing subject? |
No |
Further information |
Advanced courses:
- Statistics 2 (more complex parametric and non-parametric statistical tests)
- Special Topics: Biostatistics in Clinical Research (introdction into clinical research and biostatistcs)
- Special Topics: Applied Biostatistics
- Special Topics: Statistics 3 (advanced statistical methods)
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Earlier variants |
They also cover the requirements of the curriculum (from - to) 1WBMSTK: KV Statistics (2002W-2014S)
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