A reasonably interesting course which uses pre-requisite statistics knowledge to set a foundation for econometrics (esp. time series analysis). These are good skills to have in today's data-driven workforce though most students struggle as the content is of a mathematical nature and most come in with the outlook that it is not something they will ever use and hence don't give it the time that it requires.
Content up to the midsem was predominantly revision from previous statistics courses and the sample exam was indicative of its style and difficulty. Listen to Alicia, she will help you as best as she can. Quizzes were generally easy marks if you discussed appropriate solution methods with your peers and tutors (though be warned that while the tutors are reasonably competent they are not infallible as most are high-achieving students from a previous year). Another tip would be to know your formula sheet inside out as there are quite a few easy marks which can be missed if you don't know what the terms mean.
Most of the post midsem content was reasonable (i.e. autocorrelation, endogeneity) and you should make sure you understand how those effects impact upon the assumptions of the standard errors of the model and whether or not the estimates of your model will remain BLUE (Best Linear Unbiased Estimator). Things get a little bit hairy in the last week or two (I found that I didn't have the time amongst other subjects to really learn and understand the content, rather I just ended up memorising a lot of it), but previous finals served as good preparation material.
I think this course is a bit harshly done by simply because it is a challenging course (one of the few I have taken in commerce); it really separates the men from the boys. All the materials required to succeed are provided to you and the tutorials (despite not being in exact exam format as you are also learning how to use eViews) actually do serve as good preparation if you run through them again during your revision when everything makes a bit more sense. You will probably have to spend more than the standard 4 hours per week for commerce subjects to achieve the result you want.
I used the textbook a couple of times and if you want more indepth information and love reading about statistics go for it, but you can definitely survive on the lecture and tute content.
I would agree that the MCQ weightings were quite high (esp. on the midsem), but all you can do is prepare as best as you can.
This course is very difficult to get a distinction in, because the lectures are packed full of information and unless you study consecutively over the entire semester, you will not be able to remember everything for the final exam. The lecturer Chris O'Donnell does his best to explain but can sometimes go off-topic, so the textbook is definitely a good investment.