Logistic Growth Model of the Ontario Tech University Student Population

This model looks at how the student population at Ontario Tech University could change over time. I chose Ontario Tech as the local population scale instead of modeling the entire city or Durham Region. The model uses logistic growth to show that the student population can grow when there is available capacity, but that growth will eventually slow down as the university gets closer to the amount of students its infrastructure and resources can support.

The model also includes a time delay because changes in population and university capacity do not happen instantly. For example, if enrollment increases, it can take time for the effects of that increase to show up through things like classroom availability, housing, student services, and other campus resources. The delay is meant to represent this lag in the system.