First off I’m an academic failure (what I like to believe, was part by choice). I didn’t submit my final year dissertation for my Computer Science degree at Queen Mary, University. Nor did I sit my exams.
I later learn that obtaining a US visa for a Highly Skilled Worker is not contingent on your academic performance, but the fact that you obtained a certificate. Definitely the way in if you want to startup in the US, it’s a real bitch to deal with visas otherwise. So I’m sitting my exams which counts as ‘re-takes’ even though I didn’t physically sit them. Which means they are capped at 40% pass rate, no higher.
So there’s absolutely no point in learning the whole course material for the 2 exams that I pass in order to graduate. So here’s my method of revision which is designed for a reduction of effort.
Probabilistic calculation of exams questions
- Gather past papers
- Summarise the topic category of each question
- List each topic category
- Calculate the frequency of each topic category
Mark weighting: If marks are not evenly distributed across each question apply a multiplier on mark weighting to give mark heavy topics more prominence.
- Order list based on frequency
And there you have your revision list. It’s not the same as memorising past exam questions (another revision technique but can fail) because the key here is to prioritise topic revision.
Here is an example of one of my list:

Where can Probabilistic calculation of exams questions fail?
- Lecturer writing the exam changes
- Exam formart is altered
- Exam lecturer varies questions each time
(Although you can often tell by previous exams the lecturer has written, if there is large amounts of variation between each exams, perhaps you should cover the wider topic. Some examiners re-use questions more or less than others)
To be honest if someone memorises every single bit of course content for an exam from start to finish without prioritisation they’re probably not making effective use of their time.
The Revision Lecture
The one other thing I must recommend is definitely attending the revision lectures. Often lecturers often highlight what areas you should study. Even certain nuances in speech and body language that will draw attention to certain areas.
One lecturer provided us with a question by question breakdown of the topics covered. Even going as far as mentioning one of the code answers is covered as an example in the lecture slides.
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The key is to gather data on patterns that tend to occur for the course and exams based on the lecturer’s structure and style. Thus prioritising your revision strategy around statistical probability.
So is this an effective way to study for exams? Perhaps, we’ll see if it works out for me.