Theory and examples are presented during the lectures and are then applied by the students in a number of home assignments, which are to be solved using appropriate software (for example Matlab). The course will include the following topics:
- general probability theory
- random variables
- random number generation
- simple sampling
- complementary random numbers
- dagger sampling
- control variates
- correlated sampling
- stratified sampling
- importance sampling