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15 questions on Timetabling Automation System for Business Schools, Law Schools & Universities - 2026

August 29, 2026
25 minutes

Timetabling is the hardest scheduling problem in higher education — and most institutions still solve it in a spreadsheet. In this session, EDTEX Founder & CEO Anil Vishwanadhula answers the 15 questions business schools, law schools and universities ask most often about timetabling automation.

Building a term timetable means satisfying thousands of competing constraints at the same time: faculty availability and workload limits, classroom and lab capacity, the elective combinations students actually chose, section splits, travel time between campuses, and institutional policy on contact hours. Every constraint you add multiplies the search space — this is a genuinely NP-hard optimisation problem, not an administrative chore. That is why manual scheduling takes weeks, why clashes surface in week one instead of week zero, and why one faculty leave request can unravel a schedule that took a month to build.

This video covers what an automation system actually does about that:

  • How a constraint-based engine produces a complete, clash-free timetable instead of one built section by section
  • What happens when a timetable has to be regenerated mid-term — leave, substitutions, room changes, rescheduling
  • How faculty preferences, workload limits and qualified-only substitution are handled as rules rather than exceptions
  • How elective demand and student course choices feed scheduling instead of arriving after it
  • What classroom, lab and space utilisation data becomes available once scheduling is systematised
  • How the system connects to an existing SIS, ERP or in-house student system
  • How timetables reach faculty and students — replacing Excel files and WhatsApp forwards
  • What implementation, data readiness and go-live realistically look like for a multi-programme, multi-campus institution

WHO THIS IS FOR?

Deans and Associate Deans (Academics), Registrars, MBA and Programme Office teams, academic operations and scheduling staff, and IT leaders evaluating class scheduling software for higher education.