Automating academic scheduling for Faridpur Engineering College

Automated class routine generation system for academic scheduling

Client

Faridpur Engineering College

Sector

Higher Education · Bangladesh

Type

Internal Operations Software

Overview

Faridpur Engineering College runs a complex academic calendar - dozens of teachers, multiple departments, limited rooms, and overlapping class periods. Every semester, the administrative staff spent weeks building class routines by hand: cross-checking teacher availability, matching room capacity, avoiding conflicts across sections. It was slow, error-prone, and absorbed time that could have been spent elsewhere.

We were brought in to change that. The result was an automated routine generation system that transformed a weeks-long manual process into something structured, repeatable, and significantly faster.

The Problem

Building a class routine manually is harder than it looks.

At first glance, creating an academic routine seems straightforward. But the constraints multiply fast. A teacher cannot be in two rooms at once. The same room cannot host two classes simultaneously. Departments have preferences about when core subjects are scheduled. Some teachers are only available on certain days. Labs need longer time slots.

Managing all of this in a spreadsheet - or worse, on paper - meant that every change cascaded into hours of re-checking. A room reassignment required revisiting every row. A teacher absence meant re-drawing half a week. The administrative team was spending three to four weeks per semester on routine creation alone, and conflicts still slipped through.

The Solution

An automated system that understands scheduling constraints.

We designed and built a web-based routine generation system tailored specifically to Faridpur Engineering College's academic structure. The system allows administrators to input the core parameters - teachers, subjects, rooms, class sections, and time slots - and then generates a conflict-free routine based on those constraints.

Rather than trying to solve the problem computationally all at once, we approached it as a structured workflow: define the data, apply the rules, generate a draft, review and adjust. The system handles the mechanical part - the conflict detection, the slot filling, the cross-referencing - so the administrator can focus on decisions that require judgment.

How It Works

A structured workflow from data to routine.

01

Define the parameters

Administrators enter teachers, their subjects, available time slots, and room capacities. Each constraint is recorded once and reused across the routine.

02

Set the rules

The system applies institutional rules automatically: no teacher in two rooms, no room double-booked, lab sessions assigned appropriate time blocks, preferred schedules respected.

03

Generate the draft

The system produces a complete routine across all sections and departments, filled according to the constraints. Conflicts are flagged rather than silently ignored.

04

Review and finalise

Administrators review the output, make any manual adjustments, and publish the routine. The same setup can be reused each semester with minor modifications.

System preview - auto-generated routine

Monday
Tuesday
Wednesday
Thursday
Friday
8:00
CSE 101
MATH 201
PHY 101
9:00
EEE 102
CSE 201
10:00
MATH 201
CSE 101
EEE 102
11:00
PHY 101
MATH 201
2:00
CSE 201
EEE 102
CSE 101
3:00
MATH 201
EEE 102
Conflict-free Auto-generated · 6 periods · 5 days

The Outcome

Faster planning. Cleaner schedules. Less administrative friction.

The system reduced the time spent on routine generation significantly. What previously required weeks of manual coordination now produces a working draft in a fraction of the time. Conflicts that previously slipped through are now caught automatically. The administrative team has more time to focus on work that actually requires their attention.

More importantly, the routine is now a reliable foundation - not a source of ongoing correction. Teachers know their schedules are accurate. Rooms are assigned without overlap. The college runs on information it can trust.

"Good software doesn't always make the news. Sometimes it just quietly makes a process work the way it was always supposed to."

- Lunova Digital

Have a similar problem?

We build software that solves real operational problems.

Schedule a call