If you write software that needs discrete math, like probabilistic stuff or graphs, it will need discrete math. If you write software that is meant to simulate,

If you write software that needs discrete math, like probabilistic stuff or graphs, it will need discrete math. If you write software that is meant to simulate, like maybe even simulate real bridges, or video games, or generative art, non-photorealistic rendering, ... it will involve some of the math that helps model the physical world. It makes more sense to just learn a lot of things and apply the union of that to software, even ideas surrounding managing complexity in architecture (Notes on the Synthesis of Form?) and so on and expose that through oneself to "software" as a new universe where creations can exist; than to quibble about what's more important and what's not in a prescriptive way about what others want to and don't want to do. Of course, I'm doing the latter here. :) Such is the cycle.