This course will expose graduate school students on the principles of modeling and simulation of the various socio-cultural, economic and political theories and on human-environment interactions (e.g. population, economic growth, ecological diversity, sustainable agriculture, health and well-being, etc..).
Mathematical models represents the physical model in virtual form. Models are approximations of a phenomena, used to launch a scientific inquiry and test a hypothesis. Certain conditions are then applied to set up the experiment of the natural phenomena in a virtual reality setting, which are then referred to as a simulation, specially when done in a computer using algorithms and equations.
The simulation starts with the computer calculating the results of those conditions on the mathematical model and outputs results in a format that is either machine-readable or human-recognizable, depending upon the tools used.
The Geographic Information System (GIS) will be used as a tool to create, manage, analyse and map all types of data. It is a system designed to capture, store, manipulate, analyze, manage, and present all types of geographical or spatial data. This is linked or coupled with tabular data known as attributes, which enables it to be such an effective tool for analysis because it could connect disparate datasets based on location.