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| Detailinformationen |
| Quellcurriculum |
Masterstudium Computational Mathematics 2023W |
| Ziele |
(*)At the end of the course, students will have an understanding of the mathematics behind non-life insurance and will have dealt with different modeling approaches.
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| Lehrinhalte |
(*)Insurance Principle, claim distributions, individual model, collective model, risk processes, ruin probabilities, premium principles, reserves
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| Beurteilungskriterien |
(*)Oral exam.
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| Lehrmethoden |
(*)Blackboard presentation.
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| Abhaltungssprache |
(*)German or English depending on the participants. If you prefer the course in English, please let the teacher know well in advance. |
| Literatur |
(*)Hanspeter Schmidli, Risk Theory, Springer, 2017; Thomas Mikosch, Non-Life Insurance Mathematics: An Introduction with the Poisson Process, Springer, 2009.
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| Lehrinhalte wechselnd? |
Nein |
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