Teaching computing in statistical theory courses

Graduate-level instruction in statistical computing need not be relegated to courses devoted to statistical computing; even theoretical statistics courses can include considerable computational content through well-designed exercises. Such exercises should be chosen so that they force students to learn essential computing skills without impeding instruction of theory. A series of examples used in a course on large-sample theory illustrates this thesis. KEY WORDS: Large-sample theory; Statistical computing.