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Luận văn thạc sĩ Hệ thống thông tin quản lý: Fintech trong giáo dục: Hệ thống chấm điểm tín dụng dành cho sinh viên cao học ngành hệ thống thông tin quản lý trường Đại học Bách Khoa TP.HCM

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Tiêu đề Fintech trong giáo dục: Hệ thống chấm điểm tín dụng dành cho sinh viên cao học ngành hệ thống thông tin quản lý trường Đại học Bách Khoa TP.HCM
Tác giả Lê Thị Thùy, Nguyễn Hữu Tín
Người hướng dẫn PGS. TS. Nguyễn Văn Hùng, PGS. TS. Nguyễn Hữu Thịnh
Trường học Trường Đại học Bách Khoa
Chuyên ngành Hệ thống thông tin quản lý
Thể loại Luận văn thạc sĩ
Năm xuất bản 2020
Thành phố TP.HCM
Định dạng
Số trang 77
Dung lượng 1,18 MB

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ABSTRACT

Ho Chi Minh City University of Technology is a leading university in Vietnam However, in recent years, there is always a certain number of students cannot complete the program; due to financial difficulties Therefore, the author of the research would like to propose a solution by developing a credit scoring system for students, specifically for Management Information System Program The future system would help the university in three aspects Firstly, Bach Khoa University could be able to identify students who has financial difficulties at the enrollment stage As a result, HCMUT could provide financial support to help students to focus

on improving knowledge without being pressured by the learning costs Secondly, this system can grasp the necessary conditions to improve the quality of teaching and graduation Finally, the credit scoring solution for students provide a transparent mechanism to reduce the human errors and bias in the process of reviewing financial aid for students; because the scoring process will be done by algorithms The model to be built in the solution is based on Decision Tree algorithms and the accuracy is 91,7% The thesis has built a prototype to simulate how to operate a credit scoring system for students in an automated and data-driven approach This is the first step to build a complete system in the future and to replace manual operations, consuming a lot of human resources and time for processing

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