Ortak Seçmeli Derslerdeki Tercihlerin İstatistiksel Analizi ve Tespiti

Abstract

This study aimed to make logical inferences and optimize the system using statistical data to determine the Common Elective Course preferences of Mersin University students. Possible developments in the curriculum were foreseen, taking into consideration the data affecting course preferences. Simulation results were tested by administering questionnaires to students. As a result of the statistical analysis conducted using the dataset, the preference structures of the courses found for the curriculum were determined according to the faculties and departments. The new semester curriculum with the derived data will be updated again depending on whether the courses are selected. The courses selected by the addition course method will be placed in the curriculum once more. However, unselected courses will be removed from the curriculum. Thus, the most important aspect of this study is the updating of the curriculum. With this update, the aim is to list the most preferred courses and turn them into a consultant foresight system. Per the statistical analysis, although the preferences of each faculty differed from each other, there were general similarities in the courses chosen. According to the test results, it was concluded that 55% of the courses should be added to the curriculum, 23% should be removed, and the remaining 22% should be rearranged.