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| Detailed information |
| Original study plan |
Post graduate programme University course to prepare for the supplementary examinations 2026W |
| Learning Outcomes |
Competences |
| Students should use random quantities to describe nondeterministic processes, and apply their properties and general theorems to determine probabilties.
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| Skills |
Knowledge |
- To devise probabilistic models (discrete and continuous)
- To define events and to compute their probability
- To compute and use statistical parameters
- To manipulate conditional probabilities and random quantities
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Random quantities, expectation value, variance, law of large numbers, central limit theorem, Bayes's formula
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| Criteria for evaluation |
Course exam, based on a written and/or oral exam, homework assignments, and/or active participation in the course, as determined by the course instructor at the beginning of the semester
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| Methods |
Lecture, interactive teaching elements, homework
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| Language |
(*)Deutsch und Englisch |
| Study material |
The relevant course literature will be announced at the beginning of the course
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| Changing subject? |
No |
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