That is true, in the sense that the 100/200 level classes are covering programming basics in addition to whatever algorithmic theory is being presented. But beyond that that, programs really seem to differ pretty strongly on applied projects and software engineering practices (basic stuff like source control) and more theoretical/mathematical concepts. One type of capstone style class commonly seen is compiler design. To a certain extent, a good school will teach you how to learn, and give you enough of a background, class projects, internships, electives with applied options, that you get a well rounded education and can quickly ramp up in a more typical software organization after graduation. But as someone who has hired many new grads over the years, it always surprises me what sort of gaps exist. It rarely is about programming basics, and almost always about "software engineering" as a discipline.

Interesting. I did my undergraduate in Germany and my graduate in the US, so my experience might be unusual here and different from what you get in the US. My undergraduate algorithms classes in Germany and my advanced algorithms classes in the US involved zero actual coding. It was all pseudocode as you'd find in the Knuth books or in Cormen, Leiserson and Rivest.