drawning0510 / Python-Course_Scheduling_Optimization

Optimized course scheduling by mixed integer programming (MIP) on Python using Gurobi package to increase classroom seat utilization rate and percentage of students taking courses in prime time

Python-Course_Scheduling_Optimization

Optimized course scheduling by mixed integer programming (MIP) on Python using Gurobi package to increase classroom seat utilization rate and percentage of students taking courses in prime time

Instruction for running the code

1. Download both data files and Python code in the same folder
2. Run Course Scheduling Optimization.ipynb(Gurobi license required)

File list

1. Dataset files: Marshall_Course_Enrollment_1516_1617.xlsx, Marshall_Room_Capacity_Chart.xlsx
2. Supporting files: Description of Project.pdf, Description of Data.pdf
3. Python code: Course Scheduling Optimization.ipynb
4. Output: output.xlsx
5. Final Report: Course Scheduling Optimization Project.pptx, Final Report.pdf

Contributors

• Ian Chi
• Siyao Hu
• Muhammad Musthofa
• Yue Shi
• Rushan Zhang