NUS-modreg-optimizer

University Timetable Scheduling Optimization

Project Description

This project aims to optimize university timetable scheduling using a genetic algorithm. The goal is to prioritize back-to-back schedules and select e-learning lectures to minimize the number of days students need to attend in-person classes. The project reads timetable data from a JSON file and visualizes the resulting optimized schedule.

Features

• Selenium: Selenium to scrape data from NUS ECE website.
• Genetic Algorithm: Utilizes a genetic algorithm to find the optimal timetable.
• Back-to-Back Scheduling: Prioritizes back-to-back classes to reduce gaps between lectures.
• E-Learning Selection: Selects e-learning lectures to minimize the number of days with in-person classes.
• Visualization: Provides a visual representation of the optimized timetable.

Installation

1. Clone the repository:

   git clone https://github.com/JosephBiefed1/NUS-modreg-optimizer.git
   cd NUSMODS

2. Install the required dependencies:

   pip install -r requirements.txt

Usage

1. Select your timetable according to the format in select_mods.txt.
2. Run the optimization script:

   python main.py

3. View the resulting optimized timetable.