Human resource allocation system (full stack)

• Main Author: Seah, Jie Yu
• Other Authors: Oh Hong Lye
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Computer and Information Science; Automated teaching allocation system; Full stack; Web development
• Online Access: https://hdl.handle.net/10356/175337
• Institution: Nanyang Technological University

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.