Ανάλυση δεδομένων του τμήματος των Μαθηματικών της Αθήνας για τις χρονίες 2000-2021

Postgraduate Thesis
uoadl:3352010

Author

Koffas Nikolaos

Academic unit

1070885

Library

Library of the School of Science

Supervisors info

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

Languages

Greek

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.

Main subject category

Number of pages

108

Index

Yes

Number of index pages

2

Contains images

Yes

Number of references

16

Last modified

2 years ago

License

Creative Commons Attribution-NonCommercial 4.0 (CC-BY-NC)

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