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course-scheduling-prolog's Introduction

Course-Scheduling-Prolog

This project aims to solve the course-scheduling problem using Answer Set Programming (ASP) with Clingo. It utilizes the following code files:

  • timetabling.lp: This file contains the ASP program that solves the course-scheduling problem.
  • extract_facts.py: This Python script is used to extract relevant data and generate facts for the ASP program.
  • tabularize_v2.py: This Python script is used to visualize the generated schedule as an Excel file.

An Example of the Optimized Schedule

The following is an example of the optimized schedule generated by the ASP program:

Optimized Schedule

Usage

  1. Run extract_facts.py to extract data and generate the necessary facts for the course-scheduling problem. This will generate files such as timeslots.lp and busy.lp.
  2. Run clingo timetabling.lp to solve the course-scheduling problem using Clingo.
  3. Run tabularize_v2.py to visualize the generated schedule as an Excel file.

Dependencies

  • Clingo: The ASP solver used to solve the course-scheduling problem.
  • Python: The programming language used for data extraction and visualization.

License

This project is licensed under the MIT License.

course-scheduling-prolog's People

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