Ανάλυση δεδομένων του τμήματος των Μαθηματικών της Αθήνας για τις χρονίες 2000-2021
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Φώτιος Σιάννης, Επίκουρος Καθηγητής, Τμήμα Μαθηματικών, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών Απόστολος Μπουρνέτας, Καθηγητής, Τμήμα Μαθηματικών, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών Μαργαρίτα Καραλιοπούλου, Μέλος...
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Deposit date
9/14/2023
Year
2023
Original Title
Ανάλυση δεδομένων του τμήματος των Μαθηματικών της Αθήνας για τις χρονίες 2000-2021
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Translated title
Data analysis of the Mathematics department of Athens for the years 2000-2021
Summary
This work was conducted as a thesis of the postgraduate program in Statistics and Operations Research of the Department of Mathematics at the National and Kapodistrian University of Athens. Our objective was to address questions that have been established in the academic field, using statistics as the sole impartial criterion. We aimed to provide objective answers, thus rectifying the subjective element that emerged from previous discussions. The main questions that occupied our research concerned student performance. We investigated which factors influence each student’s performance and how, as well as students’ attitudes towards exams and their intention to participate in them, among other questions, which now have clear answers. The process we followed encompassed all stages of data analysis. Starting from a completely raw dataset and after correcting any errors and inconsistencies (which were documented for future improvement), we proceeded with its analysis using descriptive statistics, offering an overall picture of both the dataset and the information pertaining to the department (Chapter 3). In this chapter, we exclusively used the computational package ”SAS Enterprise Guide” and its extensions in the SQL language (”PROC SQL”). Subsequently, we presented more detailed results by creating linear and non-linear models (Chapter 4). Our analyses in Chapter 4 were based on the programming language R statistics. The theoretical background required to generate these specific models is presented in Chapter 2.
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Number of pages
108
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2
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https://pergamos.lib.uoa.gr/uoa/dl/object/3352010
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Creative Commons Attribution-NonCommercial 4.0 (CC-BY-NC)
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