Hand a shuffled pack of cards to two people and tell them both to put it in order. One of them goes through the pack again and again, swapping any neighbouring pair that is the wrong way round, until a whole pass produces no swaps at all. The other splits the pack in half, gives half to a friend, and when the two sorted halves come back merges them by repeatedly taking whichever of the two top cards is lower. Both finish with a sorted pack. On fifty-two cards they finish at about the same time. On fifty-two thousand they do not.
Those are the bubble sort and the merge sort, and this specification asks for something different from each. For the bubble sort you must know one specific version, with two nested loops, and be able to follow and write pseudocode for it. For the merge sort you must be able to explain it in prose and demonstrate it on a given set of data, and you will not be asked to write pseudocode for it. Then you must compare and contrast the two. Knowing which of those three demands applies to which algorithm saves you from revising the wrong thing.
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