A Faculty Development Journey in ML/AI for Dynamic Time Table Design and Workload Optimization

Executive Summary:

New Delhi DATA POINT Pvt Ltd. is delighted to announce a significant milestone: With over a decade of successful implementation in top DU colleges, we are thrilled to unveil our proposal for a Faculty Development Program (FDP) centered on "Time Table Automation and Workload Analysis utilizing Machine Learning."

Objectives:

1. Time Table Automation:

Introduce faculty members to ML/AI-based tools for automating the creation and optimization of academic time tables.

Enable participants to implement automated scheduling solutions tailored to the unique needs of educational institutions.

2. Workload Analysis:

Provide insights into workload analysis methodologies using ML/AI models.

Equip faculty with tools to assess and optimize workloads, leading to improved efficiency and resource allocation.