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Detailed information |
Original study plan |
Master's programme Computational Mathematics 2024W |
Objectives |
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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Subject |
Insurance Principle, claim distributions, individual model, collective model, risk processes, ruin probabilities, premium principles, reserves
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Criteria for evaluation |
Oral exam.
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Methods |
Blackboard presentation.
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Language |
English |
Study material |
Hanspeter Schmidli, Risk Theory, Springer, 2017; Thomas Mikosch, Non-Life Insurance Mathematics: An Introduction with the Poisson Process, Springer, 2009.
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Changing subject? |
No |
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