MAST10007
Linear Algebra
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View all MAST10007 notesINSANE H1 Linear Algebra Course Notes!
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Coursenote of MAST10007 - Linear Algebra
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MAST10007 - Linear Algebra Notes
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All equations and definitions, detailed
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Reviews
Linear Algebra is a rather abstract subject, which requires a deep understanding of its concepts in order to truly grasp its true nature and solve the challenging problems during the final exam. I did this subject during the summer of 2018 and Peter Forrester is a great lecturer! However, be prepared as he slips in a few extra materials not taught during the regular semesters. Be especially careful in basic matrix operations, since it's really easy to slip up and do careless mistakes in this subject!
Anonymous, Semester 2, 2017
I did it in the Summer of 2019, was fairly difficult in the beginning but is possible to get through if keep trying for the first few weeks.
Anonymous, Semester 2, 2018
Linear algebra was truly an interesting subject. There was a large focus on the applications of matrices and its links to solving many equations simultaneously as well as eigenvalues and eigenvectors. MATLAB is used to complement the theory. It took a while for the content to really sink in but overall, this subject sufficiently provides a foundation for further engineering studies. Strong arithmetic skills would be desirable before starting this subject but not required as you will develop this skill by the end of the subject. There are a few proving questions but the tricks can be picked up from the problem booklet. So in summary, to really do well in the subject, simply complete A LOT of past papers and the problem booklet.
Anonymous, Semester 2, 2017
A little harder in the beginning as the concepts are pretty abstract but the course is well taught and the topics are related to each other.
Anonymous, Semester 2, 2018
For the first time, I was taught conceptually instead of just learning rules. It feels way too abstract during semester, but if you stay on top of the questions (seriously, do them all, the computation is time-consuming but super easy compared to calc 2) it all comes together really nicely at the end, and you feel pretty smart. It's a good intro to proofs and matlab.
Anonymous, Semester 2, 2018
Easier than Calculus 2, mostly because the calculations themselves are easier lol. The topics become somewhat abstract mid semester, and fully understanding needs more than just plugging and chugging calculations, though if your goal is a pass then plugging and chugging will achieve that. Compared to high school it's new and different. Lecturers were good, 3 streams to pick from. I've heard this subject is extremely useful for Graphics and Interaction (COMP30019), as understanding shaders and shader language requires linear algebra, so if your goal is to do this subject and you only need to take 25 credit points worth of first year maths, I highly recommend this subject.
Anonymous, Semester 1, 2018
It is one of the easier first year Mathematics subjects if you know how to approach the questions. It requires you to keep upto the content throughout, since all topics are related unlike Calculus 2. Most of the assignments are online which makes it even easier to score marks since they have 3 attempts each. However the proofs can be very lengthy and difficult to understand at times.
Anonymous, Semester 1, 2018
Linear algebra is one of the basic maths subject you will need to do if you want to major in Engineering, Mathematics, Actuarial science and many more. It is a brand new area of maths from what we learnt in high school and I find it very interesting.
Anonymous, Semester 2, 2017
Linear algebra is a very interesting subject, however this course focuses mostly on matrix manipulation and isn't very abstract. There's a lot of computation and not as many proofs as I would like.
Anonymous, Semester 2, 2015
This subject was the only thing keeping me going through a shitty semester. Topics are fascinating and extremely well taught, would recommend to anyone interested in doing comp sci or any other discipline where linear algebra is helpful.