Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/184002
Title: Integrated project allocation and examiner assignment system for final year projects part 4
Authors: Lee, Ernest Yen Foong
Keywords: Computer and Information Science
Issue Date: 2025
Publisher: Nanyang Technological University
Source: Lee, E. Y. F. (2025). Integrated project allocation and examiner assignment system for final year projects part 4. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/184002
Project: CCDS24-0609 
Abstract: The Final Year Project (FYP) is a major academic milestone for students at the College of Computing and Data Science (CCDS), encompassing project allocation, student-supervisor matching, and examiner assignment. Historically, these processes were carried out manually, leading to inefficiencies and inconsistent workload distribution. To address these challenges, three core systems were initially introduced: the Supervision Computation Allocation (SCA), Student Selection System (SSS), and Final Year Project Examiner Allocation System (FEAS). This project builds upon those foundations by modernising and consolidating them into a unified web-based platform, the FYP Application (FYP-APP). The system integrates multiple modules to automate key FYP lifecycle stages. The SCA calculates the number of project proposals each faculty member should submit based on workload. The SSS uses the Hungarian algorithm to optimise student-project allocations based on ranked preferences (Kuhn, 1955). Finally, the FEAS module ensures fair examiner assignments, considering faculty availability and teaching load. This report outlines enhancements made in streamlining examiner allocation, refining student project assignment, improving the user interface, and migrating legacy logic into a scalable, maintainable platform. The project ultimately aims to improve the efficiency, accuracy, and transparency of the FYP management process.
URI: https://hdl.handle.net/10356/184002
Schools: College of Computing and Data Science 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:CCDS Student Reports (FYP/IA/PA/PI)

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