Analysis of Bejaia University Computer Science students' marks through the CHIC software and Statistical Implicative Analysis

Abstract

Through the study of the Bejaia's University students' marks in Computer Science, we want to show the interest of the Statistical Implicative Analysis (SIA). This method, developed by Régis Gras and his collaborators, is used to discover and analyze the most relevant implications between different studied modules. CHIC (Cohesive Hierarchical Implicative Classification) is a software implementing most of the methods defined under the framework SIA. An analysis of the relations between the modules is given according to students' marks. We comment the results through different years.