AUTOMATED TIMETABLE MANAGEMENT SYSTEM FOR TERTIARY INSTITUTIONS
Abstract
This project, “AUTOMATED TIMETABLE MANAGEMENT SYSTEM FOR TERTIARY
INSTITUTIONS’’ explores the application of advanced algorithms and data analytics in addressing the challenges of manual timetable scheduling. The system was designed to optimize resource allocation, reduce conflicts, and provide real-time adaptability in scheduling processes Using methodologies genetic algorithms and N-Queen scheduling algorithm, the system dynamically handles complex constraints like room availability, faculty schedules, and student preferences. The project includes a user-friendly interface for administrators, faculty, and students, ensuring ease of use and seamless communication.
The results demonstrate significant improvements in scheduling efficiency, resource utilization, and conflict resolution. This work highlights the potential of automated systems to revolutionize timetable management, making them essential tools for modern educational institutions.
Full-Text Access Notice
In accordance with the NERD Policy on promoting peer-reviewed publication, public access to the full text of a project, thesis or dissertation is restricted for three years, allowing the author and supervisors sufficient time to pursue peer-reviewed publication.
During this period, researchers with legitimate academic or research purposes may request authorisation directly from the author to enable NERD to release the indexed full texts of the work using the form below.