- be able to solve simple and more demanding tasks on the theory from the lecture independently
- be able to formulate and prove simple theorems and results from the theory from the lecture independently
- be able to develop and present sophisticated results related to the theory presented in the lecture using literature
- be able to work on related topics beyond the lecture material using literature independently
- be able to construct quasi-Monte Carlo point sets on the computer and to analyze them numerically
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Monte Carlo method, numerical integration, uniform distribution and Weyl's criterion, discrepancy, Koksma-Hlawka inequality, worst-case error, error analysis in Hilbert spaces with reproducing kernel, quasi-Monte Carlo method, lattice rules, digital nets, curse of dimension and tractability
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