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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Main Author: Nan, Eindray Hsu
Other Authors: Hui Siu Cheung
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/168262
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.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
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
spellingShingle Engineering::Computer science and engineering
Nan, Eindray Hsu
Machine learning for web-based SCSE course review system
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.
author2 Hui Siu Cheung
author_facet Hui Siu Cheung
Nan, Eindray Hsu
format Final Year Project
author Nan, Eindray Hsu
author_sort Nan, Eindray Hsu
title Machine learning for web-based SCSE course review system
title_short 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_sort machine learning for web-based scse course review system
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/168262
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