SCSE FYP system development

The Final Year Project (FYP) is a cornerstone of the academic journey for students at the College of Computing and Data Science (CCDS), involving the allocation of projects and examiners. Historically, these processes were managed manually, leading to inefficiencies. To address these issues, t...

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Bibliographic Details
Main Author: Kang, Bryan Jun Hui
Other Authors: Li Fang
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181492
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author Kang, Bryan Jun Hui
author2 Li Fang
author_facet Li Fang
Kang, Bryan Jun Hui
author_sort Kang, Bryan Jun Hui
collection NTU
description The Final Year Project (FYP) is a cornerstone of the academic journey for students at the College of Computing and Data Science (CCDS), involving the allocation of projects and examiners. Historically, these processes were managed manually, leading to inefficiencies. To address these issues, the FYP Examiner Allocation System (FEAS) and the Student Selection System (SSS) were developed. This project builds upon the existing systems by migrating them to a modern web-based platform, the FYP Application (FYP-APP), which aims to consolidate the previously disparate systems into a unified and efficient solution. The system integrates several key modules to facilitate various stages of the FYP lifecycle. The Supervision Computation Algorithm (SCA) is used to calculate the required number of projects to be proposed and allocated to each faculty member. Following that, the Student Selection System (SSS) employs the Hungarian algorithm to efficiently match students to FYP projects based on their preferences. Lastly, the FYP Examiner Allocation System (FEAS) ensures the fair allocation of examiners to students, taking into account the examiner's workload. This report details the contributions made in optimising examiner allocation, improving project assignment for students, and overcoming the hurdles of migrating legacy systems, all while advancing the development of the FYP-APP to enhance the overall efficiency of FYP management
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spelling ntu-10356/1814922024-12-05T05:57:19Z SCSE FYP system development Kang, Bryan Jun Hui Li Fang College of Computing and Data Science ASFLi@ntu.edu.sg Computer and Information Science The Final Year Project (FYP) is a cornerstone of the academic journey for students at the College of Computing and Data Science (CCDS), involving the allocation of projects and examiners. Historically, these processes were managed manually, leading to inefficiencies. To address these issues, the FYP Examiner Allocation System (FEAS) and the Student Selection System (SSS) were developed. This project builds upon the existing systems by migrating them to a modern web-based platform, the FYP Application (FYP-APP), which aims to consolidate the previously disparate systems into a unified and efficient solution. The system integrates several key modules to facilitate various stages of the FYP lifecycle. The Supervision Computation Algorithm (SCA) is used to calculate the required number of projects to be proposed and allocated to each faculty member. Following that, the Student Selection System (SSS) employs the Hungarian algorithm to efficiently match students to FYP projects based on their preferences. Lastly, the FYP Examiner Allocation System (FEAS) ensures the fair allocation of examiners to students, taking into account the examiner's workload. This report details the contributions made in optimising examiner allocation, improving project assignment for students, and overcoming the hurdles of migrating legacy systems, all while advancing the development of the FYP-APP to enhance the overall efficiency of FYP management Bachelor's degree 2024-12-05T05:57:19Z 2024-12-05T05:57:19Z 2024 Final Year Project (FYP) Kang, B. J. H. (2024). SCSE FYP system development. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/181492 https://hdl.handle.net/10356/181492 en application/pdf Nanyang Technological University
spellingShingle Computer and Information Science
Kang, Bryan Jun Hui
SCSE FYP system development
title SCSE FYP system development
title_full SCSE FYP system development
title_fullStr SCSE FYP system development
title_full_unstemmed SCSE FYP system development
title_short SCSE FYP system development
title_sort scse fyp system development
topic Computer and Information Science
url https://hdl.handle.net/10356/181492
work_keys_str_mv AT kangbryanjunhui scsefypsystemdevelopment