Machine learning for web-based SCSE course review system
This report presents the development of Schedule Planner And Course Evaluation (SPACE), a web-based platform designed to help NTU students manage, plan and review courses. Led by Associate Professor Hui Siu Cheung, the development of SPACE is an ongoing project that was initially created by Png Q...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/168262 |
| _version_ | 1826109913499172864 |
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| author | Nan, Eindray Hsu |
| author2 | Hui Siu Cheung |
| author_facet | Hui Siu Cheung Nan, Eindray Hsu |
| author_sort | Nan, Eindray Hsu |
| collection | NTU |
| description | This report presents the development of Schedule Planner And Course Evaluation (SPACE),
a web-based platform designed to help NTU students manage, plan and review courses.
Led by Associate Professor Hui Siu Cheung, the development of SPACE is an ongoing
project that was initially created by Png Qun Jia as a prototype using the Django framework.
The system was further improved by populating it with real data to make it operational for
actual use, and new features were introduced through the use of machine learning
techniques and algorithms by Pang Yu Shao.
The project underwent enhancements through the addition of new features, bug fixing,
library updating, and version upgrading to improve its functionality and performance.
The purpose of this report is to document the process of operationalizing the system from
its prototype stage and to provide an in-depth overview of the implementation of the
various new features that were added. |
| first_indexed | 2024-10-01T02:26:11Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/168262 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:26:11Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1682622023-06-09T15:37:49Z Machine learning for web-based SCSE course review system Nan, Eindray Hsu Hui Siu Cheung School of Computer Science and Engineering ASSCHUI@ntu.edu.sg Engineering::Computer science and engineering This report presents the development of Schedule Planner And Course Evaluation (SPACE), a web-based platform designed to help NTU students manage, plan and review courses. Led by Associate Professor Hui Siu Cheung, the development of SPACE is an ongoing project that was initially created by Png Qun Jia as a prototype using the Django framework. The system was further improved by populating it with real data to make it operational for actual use, and new features were introduced through the use of machine learning techniques and algorithms by Pang Yu Shao. The project underwent enhancements through the addition of new features, bug fixing, library updating, and version upgrading to improve its functionality and performance. The purpose of this report is to document the process of operationalizing the system from its prototype stage and to provide an in-depth overview of the implementation of the various new features that were added. Bachelor of Engineering (Computer Science) 2023-06-09T08:43:38Z 2023-06-09T08:43:38Z 2023 Final Year Project (FYP) Nan, E. H. (2023). Machine learning for web-based SCSE course review system. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/168262 https://hdl.handle.net/10356/168262 en PSCSE21-0037 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering Nan, Eindray Hsu Machine learning for web-based SCSE course review system |
| title | Machine learning for web-based SCSE course review system |
| title_full | Machine learning for web-based SCSE course review system |
| title_fullStr | Machine learning for web-based SCSE course review system |
| title_full_unstemmed | Machine learning for web-based SCSE course review system |
| title_short | Machine learning for web-based SCSE course review system |
| title_sort | machine learning for web based scse course review system |
| topic | Engineering::Computer science and engineering |
| url | https://hdl.handle.net/10356/168262 |
| work_keys_str_mv | AT naneindrayhsu machinelearningforwebbasedscsecoursereviewsystem |