MST210 – mathematical modelling – registered

MST210 - mathematical modelling is fun )
MST210 – mathematical modelling is fun )

Today, after a lot of pondering I finally signed up for MST210 to start in October.  This is the second 60 point module and, just like M208, is mandatory on the BSc Maths pathway.  I’d been holding back for a number of reasons and reviewing my post from last year, I realised that nothing had changed.  If anything my job is now more mathematically demanding as I dig deeper into the bleeding edge internals of machine learning.  My 3D printer is nearly finished and my daily commute is now 3 hours a day, giving me 2 hours a day sitting on trains.  That time is currently occupied with getting through a ridiculous amount of books1.  What I really want to avoid with MST210 is some of the rushing that I did for M208 – I want to enjoy this module.

Many of the reviews have said that the module pacing is a little out – too gentle at the start and then too rushed coming up for the exam.  Given how rushed things got last year,  I’m going to have to get ahead and stay ahead.  In addition to my 3 hour daily commute, my new role means regular visits to the US, which means two 9 hours flights and 4 nights in a hotel – more than enough to clear a couple of TMAs…

My aim for MST210 is to have the TMAs done in advance of every tutorial, as I may not be able to attend them all due to travel.  The further I can get ahead the better.  There is also the possibility of the bridging material as a revision aid.  Some of this applied mathematics I haven’t studied since A-level, and because I did the old module pathway (MST121 and MS221 which are no longer available) I may have missed a few topics I need to cover.

Will I make it?  I don’t know.  I still have lots to do work wise and want to spend a lot more time with my family than I have done recently.  This time I am going to make more of an effort. Watch this space 🙂

  1. Yay for kindle unlimited and a Safari online bookshelf subscription!

Published by


Dr Janet is a Molecular Biochemistry graduate from Oxford University with a doctorate in Computational Neuroscience from Sussex. I’m currently studying for a third degree in Mathematics with Open University. During the day, and sometimes out of hours, I work as a Chief Science Officer. You can read all about that on my LinkedIn page.