[ 320MAUEMWHK23 ] KV Overview of Mathematics: Probability theory
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| (*) Unfortunately this information is not available in english. |
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| Workload |
Education level |
Study areas |
Responsible person |
Hours per week |
Coordinating university |
| 3 ECTS |
B1 - Bachelor's programme 1. year |
Mathematics |
Gerhard Larcher |
2 hpw |
Johannes Kepler University Linz |
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| Detailed information |
| Original study plan |
Bachelor's programme Fundamentals of Natural Sciences for Technology 2025W |
| 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 |
oral or written exam (to be determined by the lecturer at the beginning of the semester)
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| Language |
German, English |
| Changing subject? |
No |
| Corresponding lecture |
(*)ist gemeinsam mit 320MAUEMANK23: KV Überblick Mathematik: Analysis (3 ECTS) und 320MAUEMLIK23: KV Überblick Mathematik: Lineare Algebra (3 ECTS) äquivalent zu
320MAGREUMU18: Einführungsübungen Mathematik (3 ECTS) + 320MAGRUM1V18: VL Überblick Mathematik I (2 ECTS) + 320MAGRUM2V18: VL Überblick Mathematik II (2 ECTS) + 320MAGRUM3V18: VL Überblick Mathematik III (2 ECTS)
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| On-site course |
| Maximum number of participants |
25 |
| Assignment procedure |
Assignment according to priority |
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