2. Department of Artificial Intelligence and Machine Learning (AIML)

The Department of Artificial Intelligence and Machine Learning (AIML) systematically maintains a central repository of essential scheduling documents. This includes class timetables, faculty timetables, laboratory schedules, and faculty workload records for both semesters across the past five years. The repository captures all versions, including those revised during the semester to accommodate changes such as rescheduling, resource reallocation, or other academic adjustments. This comprehensive and well-structured archive ensures accurate documentation, enhances accessibility, and supports efficient coordination of academic activities, enabling seamless resource management and effective academic planning.