Ngl, I’ve been getting that a bit recently despite those classes being super stressful. There are a few classes, not just math, that I feel like I could gain a lot more out of by retaking them now with a couple years in the field behind me. Not that I did poorly in those classes, I did very well, but a lot of that stuff was just too abstract to me at the time to stick beyond the next exam.
I sometimes wish I could retake my school math classes. I was never good at math but I feel like now that I have seen some practical applications for stuff that we were force fed back them, I could learn it much better.
I work in computer science (specifically in embedded software) and had a task last year where I needed to extract the pulse rate from a biosignal by detecting the signal peaks and measuring the intervals between them. Derivatives of the signal can be used for the peak detection, but I honestly did not think about this until a coworker reminded me.
For processing any digital signal, digital filters are incredibly important. When working with them, you will be exposed to polynomials though.
If you are interested in robotics, vectors are also quite important.
![And my brain said "no." [KB Comics]](https://slrpnk.net/pictrs/image/859f9670-1bac-4670-a82e-db5eb229f4e7.png){kind=link}
Ngl, I’ve been getting that a bit recently despite those classes being super stressful. There are a few classes, not just math, that I feel like I could gain a lot more out of by retaking them now with a couple years in the field behind me. Not that I did poorly in those classes, I did very well, but a lot of that stuff was just too abstract to me at the time to stick beyond the next exam.
I sometimes wish I could retake my school math classes. I was never good at math but I feel like now that I have seen some practical applications for stuff that we were force fed back them, I could learn it much better.
What practical applications?
I work in computer science (specifically in embedded software) and had a task last year where I needed to extract the pulse rate from a biosignal by detecting the signal peaks and measuring the intervals between them. Derivatives of the signal can be used for the peak detection, but I honestly did not think about this until a coworker reminded me.
For processing any digital signal, digital filters are incredibly important. When working with them, you will be exposed to polynomials though.
If you are interested in robotics, vectors are also quite important.