In this article I describe software that facilitates "question-centric curricula" in which "big questions," rather than academic disciplines, are the primary means of organizing educational resources. To find these questions, the software scans course catalogs and extracts all sentences ending in a question mark. To find connections between questions and courses, I present several computational techniques. One leverages the Library of Congress system; another implements so-called "semantic technology" that uses huge numbers of simple internet searches to ascertain the meaning of texts. The software assembles the results and shows, in one image, how every course at an institution relates to a given question.