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All of Relational Database theory seems to be based on it.
Same with Logic and Predicate Calculus, Linear Algebra and Statistics.
You know what I have barely used though: Calculus and Trigonometry. Basically most things you study for a Physics major.
But that's just my experience.
I failed Maths for Computer Science in my degree but managed to get a pass on it as all my other grades were great. Overall it has really not affected my life in any way or my career throughout my 15 years as a code monkey through many roles into now a CTO position for the past 5.
There are a lot of things and patterns you pick up as you go, and maybe I just got lucky and was in the sweet spot of tools developing fast enough to act like a permanent crutch for lack of mathematic ability.
I guess this is different if I were planning to be a game programmer but for a web focused engineer it has been absolutely fine
It's called "Practical Math: A Tour of Mathematics in Production Software" (https://pmfpbook.org points to an announcement and mailing list)
The idea is to give a large swath of examples of math used to solve real problems, and collectively to give a good answer to your question. And to have the examples be appreciable by the average programmer, in the sense that they could reasonably expect to adapt the underlying ideas in their own work.
Counter point - I am terrible at Maths, like awful. I failed Maths for Computer Science in my degree but managed to get a pass on it as all my other grades were great. Overall it has really not affected my life in any way or my career throughout my 15 years as a code monkey through many roles into now a CTO position for the past 5. There are a lot of things and patterns you pick up as you go, and maybe I just got luc…
My guess is first-order logic, set theory, combinatorics/graphs, rigorous probability/analysis, and abstract algebra. At least being familiar with concepts from these areas would help make sense of what's going in, say, complexity theory or cryptography.
I put together a guide to learning complexity theory at the graduate level [0]. This may be a decent proxy for your question.
[0] https://bcmullins.github.io/complexity_theory_resources/
> I've learned You’ve got all you need. You can learn programming now.
Counter point - I am terrible at Maths, like awful. I failed Maths for Computer Science in my degree but managed to get a pass on it as all my other grades were great. Overall it has really not affected my life in any way or my career throughout my 15 years as a code monkey through many roles into now a CTO position for the past 5. There are a lot of things and patterns you pick up as you go, and maybe I just got luc…
A few of us are happy to take care of math for everybody else. I'm in that boat. And I can't even honestly say it's gotten me further then the math-averse folks, but maybe it's helped me compensate for some of my other deficiencies.
I have found a possible use for error correcting codes but that's way beyond anything I ever studied and thus it probably will never be implemented.
I'm writing a book just for you :) It's called "Practical Math: A Tour of Mathematics in Production Software" ( https://pmfpbook.org points to an announcement and mailing list) The idea is to give a large swath of examples of math used to solve real problems, and collectively to give a good answer to your question. And to have the examples be appreciable by the average programmer, in the sense that they could reasona…
Thank you, I have a copy and it went over my head a couple times so I guess I wasn't exactly the target.
Also not sure if this fits within the scope but something like this would be great for those not already familiar with it, helped me a lot - https://github.com/Jam3/math-as-code