1. Timetable Collections

The Department of Artificial Intelligence and Data Science (AIDS) systematically manages a repository of critical scheduling documents to support academic coordination and planning. This repository includes class timetables, faculty timetables, laboratory schedules, and faculty workload records for both semesters from the past five years. It also archives all versions, including those revised during the semester due to rescheduling, resource adjustments, or other operational changes. By ensuring organised and accessible documentation, the department enhances efficiency in scheduling, facilitates transparency, and supports continuous improvement in managing academic and faculty resources effectively.