Nice subject! It is useful in many areas like machine learning, probability & statistics, differential equations,... So highly recommended if you're in STEM. Assignments are good and the exam is fair!

I did this subject with Peter Forrester in summer semester and really enjoyed it. Much more conceptually interesting than calc 1 and 2, and felt like getting a conceptual/visual understanding of all the different concepts really helped with doing the problems. I like getting a teensy intro to proofs, axioms etc too

Grade: 90+ Do it in summer if you want good marks, the exam is much easier than the normal semester. However it comes at the cost of having to trudge your way through a course that is pretty content heavy in a relatively short period of time. Personally I found this subject fairly interesting, I liked the proof aspects and at the very least it was more interesting than the incredibly boring computations of Calc 1 and 2. I had James as my tutor and he was pretty great, very helpful and enthusiastic during tutorials. Overall, if you keep up with the content and do the tutorial sheets, and do some questions from the trickier parts of the course from the problem booklet (don't bother trudging through the million computational based questions and skip questions liberally), and do a couple recent past exams, then you will be fine since they design the exam to be very accessible provided that you paid attention, with minimal curveball questions (there were like 2 curveballs the entire exam).

This subject was difficult but also great fun! I would strongly recommend anyone interested in maths to do it.

I really enjoyed Linear Algebra. It is an extremely valuable subject for future studies in both mathematics and engineering. Both my lecturer and tutor were incredibly helpful and thorough, and always made sure everyone was keeping up to date and following along. Assessment was tricky but manageable if you are willing to put in the work.

Good introduction to 'pure' style maths. Content can get a bit dry after the first few weeks but the content itself is quite easy. Just stay on top of things and you'll get a H1 easily.

Not a bad subject, a bit abstract but it was okay. The exam was absolutely brutal, not sure why they suddenly amped up the exam difficulty so much as it was closed book and closely surveillanced. Christine is a really good lecturer but I can't say the same about the other lecturer who had a heavy accent. His working on the lecture notes seemed to have been all over the place, a good reflection of his lecturing style in general, which is quite jumpy.

Abstract subject, but could be taught a bit better. Instructors make minor use of the helpful modelling tols that can help to visualise everything

Definitely abstract but you can definitely do well if you put in the work. I really enjoyed part of the coursework was on MATLAB (although MATLAB has its own flaws :///). The content can seem a bit dry until you get to eigenvectors though.

Many describe this unit as "abstract" and I couldnt agree more. But very H1able and probably the easiest lvl1 mathj unit for most and the hardest for the rest of the students. Come to EVERY tute and lab class and understand every concept (easier said than done) and H1 is around the corner. However I would go as far to say it is ESSENTIAL for Bcom (eco/finance). This bc it turns up in metrics, DS, Inv, computional econ, mathematical econ (and even micro lvl2/3 to some degree). I urge any "on the fence" bcom student to go and give a good try!! It also teaches MATLAB so thats pretty neat.