Optimum allocation of graduation projects : survey and proposed solution
Joint Authors
Tayih, Huda Kazim
Gani, Murtada A.
Hamid, Rula A.
Source
al-Qadisiyah Journal for Computer Science and Mathematics
Issue
Vol. 13, Issue 1 (31 Mar. 2021), pp.58-66, 9 p.
Publisher
University of al-Qadisiyah College of computer Science and Information Technology
Publication Date
2021-03-31
Country of Publication
Iraq
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
The final year project is an important part of obtaining a Graduation certificate in scientific and engineering universities.
To ensure high quality in the completion of graduation projects, the project allocation process must be efficient and fair among students.
Optimum allocation of graduation projects ensures a great experience for students and exceptional learning of new technologies from that projects, which may contribute to expanding students' future horizons.
In this work, we review a wide range of research for the allocation project strategies that are used in various universities, in addition to the factors that have an effective impact on the selection of graduation projects by students.
We also highlight the problems that these strategies tried to solve, in addition to those that they failed to solve.
Finally, we present a modern idea to overcome too many problems that were presented in the literature discussion where the proposed system is based mainly on the student development level during the study stage.
American Psychological Association (APA)
Gani, Murtada A.& Tayih, Huda Kazim& Hamid, Rula A.. 2021. Optimum allocation of graduation projects : survey and proposed solution. al-Qadisiyah Journal for Computer Science and Mathematics،Vol. 13, no. 1, pp.58-66.
https://search.emarefa.net/detail/BIM-1266378
Modern Language Association (MLA)
Gani, Murtada A.…[et al.]. Optimum allocation of graduation projects : survey and proposed solution. al-Qadisiyah Journal for Computer Science and Mathematics Vol. 13, no. 1 (2021), pp.58-66.
https://search.emarefa.net/detail/BIM-1266378
American Medical Association (AMA)
Gani, Murtada A.& Tayih, Huda Kazim& Hamid, Rula A.. Optimum allocation of graduation projects : survey and proposed solution. al-Qadisiyah Journal for Computer Science and Mathematics. 2021. Vol. 13, no. 1, pp.58-66.
https://search.emarefa.net/detail/BIM-1266378
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 65-66
Record ID
BIM-1266378