This unit was completely redesigned in 2018, in order to make more room for actual computational techniques to enable students to use simulation-based inference in later work, be it on the job after graduation or in an Honours or even PhD thesis. This went at the expense of deeper statistical theory, which is now covered in ECMT3160 instead. In short, the unit title of ECMT3170 has become much more reflective of its content. Some inevitable teething problems were brought up in 2018 and this feedback was taken on board when further developing the 2019 iteration of this unit. In particular: - A written mid-semester exam was not the most useful way to test the skills that this unit is intended to confer. It has been replaced by an additional take-home assignment. - The block of lectures about Bayesian analysis at the end of the unit was generally described as very interesting but too rushed. This semester, we will be using the additional lecture that we gain by not having a mid-semester exam to cover this topic at a more manageable pace. - The weekly one-hour tutorial used to be scheduled immediately after the two-hour lecture. I have successfully lobbied to have both meetings scheduled on different weekdays this semester, in order to give you more time to digest the lecture content before applying it to tutorial questions. The only changes made in 2020 are around assignment deadlines, which were found to be too tight in some cases. In particular, having the last assignment due the day before the final exam did not work so well, so it is now due earlier and does not cover any material from the last lecture.