Human resource allocation system (full stack)
Ensuring a fair distribution of teaching workload among faculty members has long been a critical and complex task for universities around the globe. Therefore, it is not surprising that schools are turning to technology, developing applications aimed at streamlining the allocation process and saving...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175337 |
| _version_ | 1826112395456544768 |
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| author | Seah, Jie Yu |
| author2 | Oh Hong Lye |
| author_facet | Oh Hong Lye Seah, Jie Yu |
| author_sort | Seah, Jie Yu |
| collection | NTU |
| description | Ensuring a fair distribution of teaching workload among faculty members has long been a critical and complex task for universities around the globe. Therefore, it is not surprising that schools are turning to technology, developing applications aimed at streamlining the allocation process and saving time. This paper presents the Automated Teaching Allocation System (ATAS), a modern web-based application, built specifically to address these challenges and optimise workload management for the School of Computer Science and Engineering (SCSE) at Nanyang Technological University (NTU). The ATAS features a highly configurable and flexible algorithm, allowing the academic staff to fine-tune the allocation process to match any allocation strategies. In addition, it features the Interactive Workload Balancer, a tool aimed to help make manual adjustments to allocation plans efficient and intuitive. |
| first_indexed | 2024-10-01T03:06:14Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/175337 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:06:14Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1753372024-04-26T15:44:42Z Human resource allocation system (full stack) Seah, Jie Yu Oh Hong Lye School of Computer Science and Engineering hloh@ntu.edu.sg Computer and Information Science Automated teaching allocation system Full stack Web development Ensuring a fair distribution of teaching workload among faculty members has long been a critical and complex task for universities around the globe. Therefore, it is not surprising that schools are turning to technology, developing applications aimed at streamlining the allocation process and saving time. This paper presents the Automated Teaching Allocation System (ATAS), a modern web-based application, built specifically to address these challenges and optimise workload management for the School of Computer Science and Engineering (SCSE) at Nanyang Technological University (NTU). The ATAS features a highly configurable and flexible algorithm, allowing the academic staff to fine-tune the allocation process to match any allocation strategies. In addition, it features the Interactive Workload Balancer, a tool aimed to help make manual adjustments to allocation plans efficient and intuitive. Bachelor's degree 2024-04-23T11:47:25Z 2024-04-23T11:47:25Z 2024 Final Year Project (FYP) Seah, J. Y. (2024). Human resource allocation system (full stack). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175337 https://hdl.handle.net/10356/175337 en SCSE23-0394 application/pdf Nanyang Technological University |
| spellingShingle | Computer and Information Science Automated teaching allocation system Full stack Web development Seah, Jie Yu Human resource allocation system (full stack) |
| title | Human resource allocation system (full stack) |
| title_full | Human resource allocation system (full stack) |
| title_fullStr | Human resource allocation system (full stack) |
| title_full_unstemmed | Human resource allocation system (full stack) |
| title_short | Human resource allocation system (full stack) |
| title_sort | human resource allocation system full stack |
| topic | Computer and Information Science Automated teaching allocation system Full stack Web development |
| url | https://hdl.handle.net/10356/175337 |
| work_keys_str_mv | AT seahjieyu humanresourceallocationsystemfullstack |