FYP student selection and examiner allocation system improvement part 2

As a mandatory requirement while undertaking the Bachelor’s Degree in Engineering (Computer Science) in the School of Computer Science and Engineering (SCSE), all students must complete a Final Year Project (FYP) as assigned to them as part of Nanyang Technological University (NTU) SCSE’s curriculum...

Full description

Saved in:
Bibliographic Details
Main Author: Lim, Francis Yong Wen
Other Authors: Li Fang
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/163349
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-163349
record_format dspace
spelling sg-ntu-dr.10356-1633492022-12-05T02:30:05Z FYP student selection and examiner allocation system improvement part 2 Lim, Francis Yong Wen Li Fang School of Computer Science and Engineering ASFLi@ntu.edu.sg Engineering::Computer science and engineering::Information systems::Information systems applications As a mandatory requirement while undertaking the Bachelor’s Degree in Engineering (Computer Science) in the School of Computer Science and Engineering (SCSE), all students must complete a Final Year Project (FYP) as assigned to them as part of Nanyang Technological University (NTU) SCSE’s curriculum. Each FYP is supervised by a faculty and will be graded by said faculty as well as an assigned examiner. The Student Selection System (SSS) assigns a student with an FYP project through automation. The SSS was developed to greatly reduce the complexity, processing time and errors that may be made through manual allocation by the FYP coordinator. The SSS, created by a contracted software engineer, utilises complex algorithms which alleviates the issue of manual allocation, and reduce human-prone errors made by automating the entire process. The SSS works hand-in-hand with its partnering system, the FYP Examiner Allocation System (FEAS). The FEAS, developed entirely by past batches of FYP students, automates the process of allocating an examiner, date, time, and location to the FYP that is due for examination in the semester. The FEAS greatly reduces the time, manual effort and human-prone errors of the manual allocations of the FYP coordinator. With the implementation of the FEAS and the SSS, the responsibility of the maintenance of the systems has been passed down from batches of students undertaking this FYP to the next. The aim of this FYP is to expand on the works done by previous batches of students, to bring about a continuation of the maintenance of the systems while aiding the end-users with specific tasks, as well as to implement and propose improvements to the systems. Bachelor of Engineering (Computer Science) 2022-12-05T02:30:05Z 2022-12-05T02:30:05Z 2022 Final Year Project (FYP) Lim, F. Y. W. (2022). FYP student selection and examiner allocation system improvement part 2. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163349 https://hdl.handle.net/10356/163349 en SCE21-0681 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Information systems::Information systems applications
spellingShingle Engineering::Computer science and engineering::Information systems::Information systems applications
Lim, Francis Yong Wen
FYP student selection and examiner allocation system improvement part 2
description As a mandatory requirement while undertaking the Bachelor’s Degree in Engineering (Computer Science) in the School of Computer Science and Engineering (SCSE), all students must complete a Final Year Project (FYP) as assigned to them as part of Nanyang Technological University (NTU) SCSE’s curriculum. Each FYP is supervised by a faculty and will be graded by said faculty as well as an assigned examiner. The Student Selection System (SSS) assigns a student with an FYP project through automation. The SSS was developed to greatly reduce the complexity, processing time and errors that may be made through manual allocation by the FYP coordinator. The SSS, created by a contracted software engineer, utilises complex algorithms which alleviates the issue of manual allocation, and reduce human-prone errors made by automating the entire process. The SSS works hand-in-hand with its partnering system, the FYP Examiner Allocation System (FEAS). The FEAS, developed entirely by past batches of FYP students, automates the process of allocating an examiner, date, time, and location to the FYP that is due for examination in the semester. The FEAS greatly reduces the time, manual effort and human-prone errors of the manual allocations of the FYP coordinator. With the implementation of the FEAS and the SSS, the responsibility of the maintenance of the systems has been passed down from batches of students undertaking this FYP to the next. The aim of this FYP is to expand on the works done by previous batches of students, to bring about a continuation of the maintenance of the systems while aiding the end-users with specific tasks, as well as to implement and propose improvements to the systems.
author2 Li Fang
author_facet Li Fang
Lim, Francis Yong Wen
format Final Year Project
author Lim, Francis Yong Wen
author_sort Lim, Francis Yong Wen
title FYP student selection and examiner allocation system improvement part 2
title_short FYP student selection and examiner allocation system improvement part 2
title_full FYP student selection and examiner allocation system improvement part 2
title_fullStr FYP student selection and examiner allocation system improvement part 2
title_full_unstemmed FYP student selection and examiner allocation system improvement part 2
title_sort fyp student selection and examiner allocation system improvement part 2
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/163349
_version_ 1751548572683206656