Our ultimate goal is extensible programming. By this, we mean the construction of hierarchies of modules, each module adding new functionality to the system.

Experience shows that the success of a programming course critically depends on the choice of these examples.

Nevertheless, I consider OOP as an aspect of programming in the large; that is, as an aspect that logically follows programming in the small and requires sound knowledge of procedural programming.

The possible solutions to a given problem emerge as the leaves of a tree, each node representing a point of deliberation and decision.

Software gets slower faster than hardware gets faster.

It is evidently necessary to generate and test candidates for solutions in some systematic manner.

Increasingly, people seem to misinterpret complexity as sophistication, which is baffling -- the incomprehensible should cause suspicion rather than admiration.