I have just submitted my “qualifying dissertation” to the University of York.
Latterly I have been thinking of my PhD studies in terms of the film Dougal and the Blue Cat – I grew up at a bad time (the virtual collapse of cinema going in the 60s and 70s) and a bad place (in a civil war of varying intensity) and this was one of the few films I saw in my childhood (pre-13) in the cinema and it did have a profound impact!
In the film the Blue Cat has to undergo several trials on his route to kingship, rising in rank as he goes. I have just made my bid for the MSc stage (if the University fail me they may recommend I write up the literature review for a standard MSc). Next would come an MSc by Research, then an MPhil, then a PhD.
I don’t want any of them – except the last one of course – but it’s a decent guide to the amount of effort required, so this feels like a real milestone.
But it’s also the easiest part – I have to (assuming my dissertation is passed – my viva is in September) actually do some research and experimentation now!
Today was graduation day for my MSc and I have to say I rather enjoyed it.
The master of Birkbeck, David Latchman, gave a very good speech I thought, emphasising the college’s commitment to its part-time students and to helping them get the funding to which they are entitled and we also got a speech by Gulam Noon – being made a fellow – who made his views very clear when he quoted the Hadith “the ink of scholars outweighs the blood of martyrs”.
The master also made the point that Birkbeck’s graduates are its greatest recruiters and that we should do our bit to encourage applications – which I am more than happy to do.
Reading about the Monte Carlo method has set me thinking about this and how, if at all, it might be applied to page reclaim in the Linux kernel.
In my MSc report I show that my results show that working set size is not normally distributed – despite occasional claims to the contrary in computer science text books. But it is possible that a series of normal distributions are overlaid – see the graphic below:
The first question is: how do I design an experiment to verify that these are, indeed a series of normal distributions?
(I may find out how I have done in the degree in the next week or so – wish me luck)
I submitted my MSc project report yesterday, so that is it, at least for now, as a computer science student.
The report was on “applying working set heuristics to the Linux kernel“: essentially testing to see if there were ways to overlay some elements of local page replacement to the kernel’s global page replacement policy that would speed turnaround times.
The answer to that appears to be ‘no’ – at least not in the ways I attempted, though I think there may be some ways to improve performance if some serious studies of phases of locality in programs gave us a better understanding of ways to spot the end of one phase and the beginning of another.
But, generally speaking, my work showed the global LRU policy of the kernel was pretty robust.
I find out how I did in November.
Need to find some other programming task now. Mad bit of me suggests getting engaged with GNU Hurd. Though mucking about with Android also has an appeal.
My post on the HESA longitudinal survey of graduates made it on to slashdot and provoked a healthy discussion here.
Lots of people complaining that what universities call “computer science” is not computer science at all – not enough maths or rigour or theory in general.
That may or may not be true: I am not an undergraduate, so cannot comment. But I do know from my experience of the MSc that you can make of it what you will.
A lot of people on the course complained that the object-orientated programming and design part was in Groovy and not Java (or, heaven forfend, some .NET flavour). Unlike me they worked in IT and saw the course as a step up the career ladder – I saw it more as a mind expansion thing (though also was about proving to employers that my claim of IT skills was real). The more I read – especially when I got into Structure and Interpretation of Computer Programs – the more I could see what the lecturers were on about.
I don’t think one position was superior to the other and I certainly don’t think teaching Java instead of Groovy would have harmed anyone’s employment chances – so the argument that people teach useless task-orientated stuff and not enough science does not work for me in explaining high levels of unemployment.
Men and boys who are poorly socialised strikes me as a better explanation, but again I am not backing that with any evidence!