__Semester 1, 2017__

__ECMT1020 - Introduction to Econometrics__

**Ease - 9/10**

If you are comfortable with probability and statistical inference, then this unit will be a piece of cake. Otherwise, this unit may require more of your time and effort in order to do well. This semester didn't have a STATA assignment, but had 4 online multiple choice question sets. The multiple choice questions weren't difficult, but they did test parts of the course that most students tend to overlook. The midsem and final exam were fairly straightfoward.

**Lecturer - 9/10 (Peter Exterkate)**

Peter is a great guy, and his slides are comprehensive enough for you to safely neglect the textbook. His lectures are worth attending, and tries to make his presentation friendly for those who prefer to watch them at home. He is sometimes awkward, but that doesn't reduce the worth of his lectures. He is also very active in participating in online discussions.

**Interest - 7/10**

The course does kind of get interesting, but content sometimes feels a bit dry and the mathematical rigour isn't very satisfying. The latter may be a good thing for some students.

**Overall - 8.5/10**

It's a useful unit, and generally not that difficult. It's a compulsory subject for many students, but it's probably one of the better ones.

__ECOS2901 - Intermediate Microeconomics Honours__

**Ease - 6.5/10**

Personally, I found the content to be fairly easy and straightforward to understand, and I suspect that other mathematics students would feel the same. However, students who aren't as comfortable with mathematics may find this unit particularly challenging (along with ECOS2903). What made this unit challenging for me (and many others) are the two midsems and the final. The lecturer, in his words, likes to add "novel twists" to problems in his exams. They are interesting, but it's hard to prepare for them, and they can really throw you off during the exam.

**Lecturer - 9/10 (Stephen Cheung)**

The lecturer presents the theory really well, and his slides are very helpful. He has plenty of experience teaching the course, and it really shows. However, occasionally, he may spend a disproportionate amount of time explaining simple algebraic derivations. He seems generally approachable during lectures, but he responds quite tersely to emails.

**Interest - 10/10**

The theories are very interesting, and they are presented with a satisfying level of mathematical rigour. Preference and consumer theories were great. The rigorous treatment of game theory is really fascinating.

**Overall - 9/10**

If you enjoy economics and mathematics, you will love this course.

__MATH2961 - Linear Algebra and Vector Calculus (Advanced)__

**Ease - 6/10**

Vector calculus was the easier half of the course. However, it can get really computational, and you aren't provided with a formula sheet, so it's necessary to memorise quite a few important formulae. Linear algebra can get quite difficult, and the content towards the end feels somewhat disorganised and awkward. This is the first year Fish and Mathas has taught this course, so the difficulty of the quizzes and exams spiked up compared to previous years (which felt significantly easier).

**Lecturers - 7.5/10 (Sasha Fish for vector calculus 7/10 Andrew Mathas for linear algebra 8/10)**

This is the first time the lecturers have taken the course, so naturally, the course wasn't taught as well as it could have been. Both lecturers are satisfactory, however, they also consistently made mistakes during lectures. Both lecturers are very friendly and approachable.

**Interest - 8/10**

Vector calculus, personally, was fairly interesting until it got up to the final third of the course, where the central focus shifted to flux, Greens' and Stokes' theorems. Physics students may find those topics much more interesting and relevant than I do. To my surprise, I quite enjoyed abstract linear algebra. However, the last 1.5 weeks were a little disorientating for everyone, since it wasn't easy to see how it flowed on from the previous weeks, as well as the fact that this is the lecturer's first time teaching the course.

**Overall - 7.5/10**

This is a crucial unit for both advanced pure and applied maths students, and for a course that important, I think it was handled satisfactorily.

__STAT2911 - Probability and Statistical Models (Advanced)__

**Ease - 5/10**

Oh boy. So far, this has been the most challenging and stressful unit I've taken. The lecturers were difficult to follow because the content was really difficult. The lecturer does not dumb anything down, and presents things with a very high level of mathematical rigour (sometimes even higher than that of MATH2961). Throughout the semester, I had to dedicate around 50% of my study time just for this unit alone. Weekly tutorial problems can get really difficult, and they are marked during tutorials. Furthermore, the lecturer records marks for tutorials (to make judgments on special consideration requests), so you're really incentivised to them in your own time, which can easily take several hours. (Although considering the fact that the theory is pretty difficult, this is probably a good thing.) The quizzes were multiple choice only, and they weren't so bad. Weekly computer reports are probably the easiest part of the course. The assignments are as difficult as weekly tutorial sheets. The computer exam at the end had the same difficulty as the weekly computer reports. The final exam was fairly difficult. I personally got lucky in the final, but a lot (probably most) students really struggled with it (as they did with tutorial problems). I would suggest to avoid this unit unless you did fairly well in MATH1905.

**Lecturer - 9.5/10 (Uri Keich)**

I have a lot of respect for Uri. He is by far the most intense lecturer I've had. He takes the tutorial classes himself, and records the marks of your weekly tutorial exercises. As mentioned above, he does not dumb down the maths, and rarely ever slows down. This was sometimes tough even for advanced maths students, so you can imagine how the commerce students would have struggled in his classes. That said, he is a lecturer who really knows his stuff. I have never had a lecturer as prepared as he is, which is astonishing, considering just how difficult the content is. He presents the content in a highly structured manner. He also seems to have a ridiculously good memory, as he has memorised the faces and most of the names in his classes, as well as flawlessly memorising his lecture slides. While he comes off as an intense guy, he is perfectly approachable if you have something to ask.

**Interest - 10/10**

The rigorous probability and statistical theory were highly satisfying and fascinating. It is a huge improvement from MATH1905.

**Overall - 8/10**

If you are looking for a highly mathematical and challenging unit, then this is for you. If you're really into probability, then this is a must. But be warned; this unit will make you really work for it.