FYP student selection and examiner allocation system improvement part 3
The Final Year Project (FYP) is the capstone project of computer science students' journey at the School of Computer Science and Engineering (SCSE). The manual assignment of students to FYPs and examiners is laborious. Hence, the FYP Examiner Allocation System (FEAS) and Student Selection Syste...
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2024
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sg-ntu-dr.10356-1752842024-04-26T15:43:31Z FYP student selection and examiner allocation system improvement part 3 Khant Nyi Nyi Li Fang School of Computer Science and Engineering ASFLi@ntu.edu.sg Computer and Information Science Web application Software engineering The Final Year Project (FYP) is the capstone project of computer science students' journey at the School of Computer Science and Engineering (SCSE). The manual assignment of students to FYPs and examiners is laborious. Hence, the FYP Examiner Allocation System (FEAS) and Student Selection System (SSS) were originally created to algorithmically assign FYPs to final year students efficiently and optimally. This document encapsulates the ongoing evolution of the original FEAS and SSS, alongside the introduction of a new application - the FYP Application (FYP-APP) to integrate the FEAS and SSS under one application for more streamlined maintenance and usage. The primary focus of the report revolves around the upkeep of FEAS and SSS, the development of the new application, FYP-APP. Lastly, it outlines possible improvements to the systems based on current insights. In essence, this report outlines a successful FYP endeavor dedicated to maintaining and expanding pivotal applications aimed at enhancing efficiency and user experience for all stakeholders involved in the FYP process. Bachelor's degree 2024-04-22T08:18:12Z 2024-04-22T08:18:12Z 2024 Final Year Project (FYP) Khant Nyi Nyi (2024). FYP student selection and examiner allocation system improvement part 3. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175284 https://hdl.handle.net/10356/175284 en application/pdf Nanyang Technological University |
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Computer and Information Science Web application Software engineering Khant Nyi Nyi FYP student selection and examiner allocation system improvement part 3 |
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The Final Year Project (FYP) is the capstone project of computer science students' journey at the School of Computer Science and Engineering (SCSE). The manual assignment of students to FYPs and examiners is laborious. Hence, the FYP Examiner Allocation System (FEAS) and Student Selection System (SSS) were originally created to algorithmically assign FYPs to final year students efficiently and optimally. This document encapsulates the ongoing evolution of the original FEAS and SSS, alongside the introduction of a new application - the FYP Application (FYP-APP) to integrate the FEAS and SSS under one application for more streamlined maintenance and usage. The primary focus of the report revolves around the upkeep of FEAS and SSS, the development of the new application, FYP-APP. Lastly, it outlines possible improvements to the systems based on current insights. In essence, this report outlines a successful FYP endeavor dedicated to maintaining and expanding pivotal applications aimed at enhancing efficiency and user experience for all stakeholders involved in the FYP process. |
author2 |
Li Fang |
author_facet |
Li Fang Khant Nyi Nyi |
format |
Final Year Project |
author |
Khant Nyi Nyi |
author_sort |
Khant Nyi Nyi |
title |
FYP student selection and examiner allocation system improvement part 3 |
title_short |
FYP student selection and examiner allocation system improvement part 3 |
title_full |
FYP student selection and examiner allocation system improvement part 3 |
title_fullStr |
FYP student selection and examiner allocation system improvement part 3 |
title_full_unstemmed |
FYP student selection and examiner allocation system improvement part 3 |
title_sort |
fyp student selection and examiner allocation system improvement part 3 |
publisher |
Nanyang Technological University |
publishDate |
2024 |
url |
https://hdl.handle.net/10356/175284 |
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1814047433252929536 |