I’m working my way to a CS degree and am currently slogging my way through an 8-week Trig course. I barely passed College Algebra and have another Algebra and two Calculus classes ahead of me.
How much of this will I need in a programming job? And, more importantly, if I suck at Math, should I just find another career path?
You often need to be pretty good at math. But not because you’re “doing math” to write the code.
In real world software systems, you need to handle monitoring and alerting. To properly do this, you need to understand stats, rolling averages, percentiles, probability distributions, and significance testing. At least at a basic level. Enough to know how to recognize these problems and where to look when you run into them.
For being a better coder, you need to understand mathematical logic, proofs, algebra/symbolic logic, etc in order to reason your way through tricky edge cases.
To do AI/ML, you need to know a shitton of calculus and diff eqs, plus numerical algorithms concepts like numerical stability. This is kinda a niche (but rapidly growing) engineering field.
The same thing about AI also applies to any other domain where the thing being computed is fundamentally a math or logic solution. This is somewhat common in backend engineering.
I’m not “doing math” with pen and paper at work, but I do use all of these mathematical skills all. the. time.
I am an SRE on a ML serving platform.
In real world software systems, you need to handle monitoring and alerting.
That’s one example of your particular programming job. Many real world software systems do not require handling monitoring and alerting especially not using statistics, rolling averages, etc.
For example, I once wrote the encryption code used on smart card chips. Writing statistics for smart card card transactions would be someone else’s job. Same with the modem code I wrote for a product.
