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The Challenge

The City College of New York (CCNY) faced significant challenges with its course scheduling processes. With thousands of students and hundreds of courses, manual scheduling resulted in frequent class overlaps and inefficient resource allocation. The administrative burden was substantial, leading to student and faculty dissatisfaction.

The main goal was to streamline the scheduling process, reduce conflicts, and improve resource utilization across the campus. CCNY aimed to enhance student satisfaction with class schedules and reduce the administrative workload.

Solutions

CCNY partnered with DynamAIze to implement an AI-driven scheduling system tailored to the institution’s complex needs. The implementation process included:

  • Data Integration: Importing historical scheduling data and resource usage metrics into DynamAIze.
  • Algorithm Customization: Customizing the AI algorithms to accommodate specific scheduling constraints and preferences of CCNY, such as faculty availability, room capacities, and equipment needs.
  • User Training: Conducting workshops for administrative staff to familiarize them with the new system and best practices for maintaining data accuracy and system updates.

Artificial Intelligence refers to the development of computer systems that can perform tasks that would typically require human intelligence. It involves the creation of algorithms and models that enable machines to learn, reason, perceive.

Adam Peterson

AI Features Utilized

  • Automated Timetabling: DynamAIze’s AI algorithm automatically generated optimal course schedules by analyzing historical data and current requirements, reducing overlaps and balancing course loads.
  • Real-Time Conflict Resolution: The system provided real-time suggestions for conflict resolution during the scheduling process, allowing for immediate adjustments.
  • Resource Optimization: AI-driven analysis ensured the optimal use of classrooms, laboratories, and other facilities, aligning resource availability with course demands.

Key Outcomes

The introduction of DynamAIze at CCNY led to significant improvements:

  • Reduction in Scheduling Conflicts: Conflicts decreased by 90%, with the AI system effectively identifying and resolving potential overlaps before they affected the timetable.
  • Increased Resource Utilization: Efficiency in the use of campus resources increased, with a more balanced distribution of room assignments and equipment use.
  • Administrative Efficiency: The time spent on scheduling by administrative staff was reduced by over 50%, allowing them to focus on more strategic tasks.
  • Enhanced Student Satisfaction: Student satisfaction with class timetables improved as they experienced fewer scheduling issues and more consistent class times.
Reduction in Scheduling
Conflicts
0 %
Increase in learning
0 +

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