Abstract
A conventional way of designing curricula is to ask domain experts to set dependencies between courses. A domain expert normally sets these dependencies based on the contents of the courses. Regardless of the disagreements amongst experts in deciding these dependencies, several studies suggest that data-driven approaches can be very effective. In this paper, we propose a system to induce independence/dependence assumptions between courses in curricula based on student performance.