Task allocation and scheduling system
Technology has helped streamline many time-consuming processes, allowing institutions to save time, cost, and resources. It can be used to replace manual labor like taking attendance for lessons or scheduling classes for staff and students. Unfortunately, the scheduling of classes for Nanyang Tec...
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sg-ntu-dr.10356-1565232022-04-19T06:46:43Z Task allocation and scheduling system Ng, Kah Hui Vun Chan Hua, Nicholas School of Computer Science and Engineering ASCHVUN@ntu.edu.sg Engineering::Computer science and engineering::Software::Software engineering Technology has helped streamline many time-consuming processes, allowing institutions to save time, cost, and resources. It can be used to replace manual labor like taking attendance for lessons or scheduling classes for staff and students. Unfortunately, the scheduling of classes for Nanyang Technological University, School of Computer Science and Engineering (SCSE) is done using an older system running on an out-of-date Operating System (OS); hence Multi- School Online Timetable System (MSOTPS) was proposed and built. MSOTPS was initially developed to allow the course coordinator to effectively use an updated timetable and scheduling system to plan for every academic year. MSOTPS has been developed using state-of-the-art web development technologies like JavaScript, ReactJS, and MySQL. Improvements have been made by students who previously took this project; however, the system is not yet completed. In this project, further implementations and enhancements of features and modules are done to make the system fully functional for actual use in the future. This report will discuss the research, design, implementation, and future enhancements of the system. Bachelor of Engineering (Computer Science) 2022-04-19T06:46:43Z 2022-04-19T06:46:43Z 2022 Final Year Project (FYP) Ng, K. H. (2022). Task allocation and scheduling system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156523 https://hdl.handle.net/10356/156523 en SCSE21-0320 application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering::Software::Software engineering Ng, Kah Hui Task allocation and scheduling system |
description |
Technology has helped streamline many time-consuming processes, allowing institutions to save
time, cost, and resources. It can be used to replace manual labor like taking attendance for
lessons or scheduling classes for staff and students. Unfortunately, the scheduling of classes for
Nanyang Technological University, School of Computer Science and Engineering (SCSE) is
done using an older system running on an out-of-date Operating System (OS); hence Multi-
School Online Timetable System (MSOTPS) was proposed and built.
MSOTPS was initially developed to allow the course coordinator to effectively use an updated
timetable and scheduling system to plan for every academic year. MSOTPS has been developed
using state-of-the-art web development technologies like JavaScript, ReactJS, and MySQL.
Improvements have been made by students who previously took this project; however, the
system is not yet completed.
In this project, further implementations and enhancements of features and modules are done to
make the system fully functional for actual use in the future.
This report will discuss the research, design, implementation, and future enhancements of the
system. |
author2 |
Vun Chan Hua, Nicholas |
author_facet |
Vun Chan Hua, Nicholas Ng, Kah Hui |
format |
Final Year Project |
author |
Ng, Kah Hui |
author_sort |
Ng, Kah Hui |
title |
Task allocation and scheduling system |
title_short |
Task allocation and scheduling system |
title_full |
Task allocation and scheduling system |
title_fullStr |
Task allocation and scheduling system |
title_full_unstemmed |
Task allocation and scheduling system |
title_sort |
task allocation and scheduling system |
publisher |
Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/156523 |
_version_ |
1731235786830905344 |