Creation and Research of HSE Entrants Portraits Compared to Historical Data

Student: Stoeva Valeriya

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2019

In this paper, the data on students collected by National Research Institute the Higher School of Economics is analyzed. In the course of the study, portraits of students are constructed using segmentation algorithms and factors influencing the student's expulsion are revealed. Based on the results obtained, it is possible to describe the behaviour and performance of students of the National Research University Higher School of Economics and to make recommendations both for teachers and students, in order to improve the students' performance and educational process.

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