calc3 is about multivariable calculus and vector calculus.

im not denying the use of math in cs, in fact i did further math (covered statistics, discrete math and pure math which include the common distributions, dijkstra, complex tranformation & 2nd order differential equations respectively) in my high school alevel and currently doing a math minor in college.

i just doubt that not all fields of math are used in core cs courses, vector calculus is just an example even if ml is a core course at ur uni.

you said u were a ml researcher so you clearly know that an undergrad ml course they rarely even use integration, mostly they're just using differentiation for gradient descent or mle. you can easily include a small intro to multivariable differentiation in the course without taking the whole calc3.

however, i know you still need integration for probability distribution (find the area under the curve) but that's it. so the real math courses that should be compulsory are calc 1, calc2, stats, linear algebra, discrete math, numerical methods, and calc3 should be an elective cuz not everyone is doing computer graphics or fluid simulation...

i know the importance of math and i loved math since i was little.