Análise das Interações Curriculares em um Curso de Ciência da Computação: buscando subsídios para aprimoramento curricular

The curriculum change process must be based on evidence of institutional changes. In this sense, the present study aims to characterize and discuss curricular interactions in a Computer Science course based on the performance of graduating students. The performance data were subjected to Principal Components Analysis and Hierarchical Cluster Analysis to identify possible correlations between: performances in different disciplines, the influence of classification in the admission test and the time required to conclude the course. It was detected the association of disciplines in nine groups, with emphasis on the group labeled "basic", which interferes with the duration of the course. It was noted that performance in the admission test loses importance during of the course. Understanding these relationships can contribute to the improvement of the course of Computer Science and promote the good student formation.