I have to agree with @Karl Knechtel -- this is a pretty poor question. As he said, it's hard to explain why, but I'll give it a shot.
The first problem is that it uses a term without defining it -- and "code reuse" means a lot of different things to different people. To some people, cutting and pasting qualifies as code reuse. As little as I like it, I have to agree with them, to at least some degree. Other people define cod reuse in ways that rule out cutting and pasting as being code reuse (classing another copy of the same code as separate code, not reusing the same code). I can see that viewpoint too, though I tend to think their definition is intended more to serve a specific end than be really meaningful (i.e., "code reuse"->good, "cut-n-paste"->bad, therefore "cut-n-paste"!="code reuse"). Unfortunately, what we're looking at here is right on the border, where you need a very specific definition of what code reuse means before you can answer the question.
The definition used by your professor is likely to depend heavily upon the degree of enthusiasm he has for OOP -- especially during the '90s (or so) when OOP was just becoming mainstream, many people chose to define it in ways that only included the cool new OOP "stuff". To achieve the nirvana of code reuse, you had to not only sign up for their OOP religion, but really believe in it! Something as mundane as composition couldn't possibly qualify -- no matter how strangely they had to twist the language for that to be true.
As a second major point, after decades of use of OOP, a few people have done some fairly careful studies of what code got reused and what didn't. Most that I've seen have reached a fairly simple conclusion: it's quite difficult (i.e., essentially impossible) correlate coding style with reuse. Nearly any rule you attempt to make about what will or won't result in code reuse can and will be violated on a regular basis.
Third, and what I suspect tends to be foremost in many people's minds is the fact that asking the question at all makes it sound as if this is something that can/will affect a typical coder -- that you might want to choose between composition and inheritance (for example) based on which "promotes code reuse" more, or something on that order. The reality is that (just for example) you should choose between composition and inheritance primarily based upon which more accurately models the problem you're trying to solve and which does more to help you solve that problem.
Though I don't have any serious studies to support the contention, I would posit that the chances of that code being reused will depend heavily upon a couple of factors that are rarely even considered in most studies: 1) how similar of a problem somebody else needs to solve, and 2) whether they believe it will be easier to adapt your code to their problem than to write new code.
I should add that in some of the studies I've seen, there were factors found that seemed to affect code reuse. To the best of my recollection, the one that stuck out as being the most important/telling was not the code itself at all, but the documentation available for that code. Being able to use the code without basically reverse engineer it contributes a great deal toward its being reused. The second point was simply the quality of the code -- a number of the studies were done in places/situations where they were trying to promote code reuse. In a fair number of cases, people tried to reuse quite a bit more code than they really did, but had to give up on it simply because the code wasn't good enough -- everything from bugs to clumsy interfaces to poor portability prevented reuse.
Summary: I'll go on record as saying that code reuse has probably been the most overhyped, under-delivered promise in software engineering over at least the last couple of decades. Even at best, code reuse remains a fairly elusive goal. Trying to simplify it to the point of treating it as a true/false question based on two factors is oversimplifying the question to the point that it's not only meaningless, but utterly ridiculous. It appears to trivialize and demean nearly the entire practice of software engineering.