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I am a tutor in the Department of Mathematics and Statistics, the University of Melbourne. I am c...


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MIT Applied Mathematics PhD student, in Melbourne currently because of the virus situation 94 mat...


Tutorials were fairly pointless, with classes too big to all work on the board. Lecturer was rather mundane at times, and exam was very difficult

Anonymous, Semester 2, 2019

Note that there was a new lecturer for 2017, who is apparently NOT taking it again next year, so I'm not sure how relevant this will be... Anyway, great subject, doesn't actually follow on that much from probability, and in my opinion is quite a bit easier (but different), so don't worry if you felt like you didn't understand much from prob. If you enjoyed the markov chain part of prob, then you're in luck: the whole subject is basically just markov chains: discrete time and continuous time (there's a bit of renewal processes at the very end, which are NOT markov chains, but are similar!). In pretty much every part of the course it's generally much easier to understand the intuition behind stuff, compared with prob. Go to tutes (!) and finish questions at home if you can't get through them all in class (you won't!). Overall, a great, well taught subject.

Anonymous, Semester 2, 2017

Definitely worth doing. The application to real life is obvious. It will change the way you see random events in life. However, the questions are a lot harder the course suggests; the challenge isn't in learning the material, but learning it well. Make sure you're comfortable with EVERY tutorial question, because many tute questions contain tricks here and there.

Anonymous, Semester 2, 2016

This subject leads on from Probability and has a good amount of application to real life scenarios. Concepts are well explained and make sense logically if you think about it.

Anonymous, Semester 2, 2016