Get your individualized optimal course schedule for the upcoming semester!
Here's how:
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Update the google sheet found here.
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Save the sheet in as an excel file into the top directory of the project folder.
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In userInputs.py, update the excel filename and sheet name if needed.
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Run
python main.py -
Run
ampl exec.run(include full filepath for exec.run). [Requires ampl and the cplex solver installed on your machine.]
Voila! You now have the optimal course schedule based on your preferences and requirements.
This program using mixed integer linear programming in order to create an optimal course schedule for a Harvey Mudd student for their upcoming semester.
The code written in python (mainly in func.py) creates the data file (.dat file) and the model file (.mod file) --> examples can be found in .\amplFiles.
The exec.run file (created after running main.py) contains the commands needed for AMPL's cplex solver to run and output the optimal course schedule.