ANALYSIS MODEL FOR CORRELATION BETWEEN COURSES BASED ON ROUGH SET

At present there were some unreasonable problems exiting in the college students' course selection and arranging course study plan independently under the credit system, there for the analysis model for correlation between courses in the college based on rough set was put forward. Firstly, this model made the attribute reduction for the original data set to get the smaller decision data set. Secondly, the correlative approach based on discernable matrix was applied to extract association rules from decision data set. At last the association rules was evaluated and analyzed. By means of practical application analysis to the data about the courses and exams of graduated students in some university, some association rules between courses are found and analyzed. The analysis result showed that the model had a certain auxiliary function to guide students to select courses and arrange courses study plan reasonably under the credit system.