NYU Tandon, Management Science (MG-GY 6103), End Semester Project
The effective allocation of students to Capstone projects is crucial for fostering optimal learning experiences. In this project, we tackled this complex task through a combination of Integer Linear Programming (ILP) and Goal Programming (GP) techniques. Leveraging the power of the Gurobi solver, our approach aimed to balance student preferences and project requirements.
Check the data folder to review the Student responses and Project Requirements excel files.
- Check if the dataset is called correctly in the notebook and run notebook.
- Successfully Implemented a Integer Linear Programming Model to allocate the students to the Capstone Projects.
- This implementation is based on a subset of Student responses, but a further model can be implemented which takes in the entire dataset.