Auto schedule allocator

Abstract

The allocation of teaching duties to graduate students is a critical yet time-consuming‬ ‭ administrative task in academic institutions. The current process at the College of Computing‬ ‭ and Data Science (CCDS) at Nanyang Technological University (NTU) involves manual‬ ‭ handling of graduate student preferences, lab schedules, and constraints via email and Excel‬ ‭ sheets. This system is inefficient, error-prone and difficult to scale. Thus, to address these‬ ‭ challenges, this project proposes the Graduate Student Lab Allocation System (GSLAS), a‬ ‭ centralized web-based portal designed to automate and streamline the lab allocation process. The‬ ‭ portal enables students to submit preferences in a standardized format and incorporates a flexible‬ ‭ allocation algorithm that optimizes lab assignments based on constraints like student preferences‬ ‭ and workload fairness. GSLAS provides a scalable solution to Graduate Student Lab Allocation,‬ ‭ with potential for future enhancements such as Tutorial allocation and integration with faculty‬ ‭ scheduling systems.‬