Course Detail
Units:
4.0
Course Components:
Lecture
Enrollment Information
Enrollment Requirement:
Prerequisites: MATH 1210 or equivalent knowledge of basic calculus.
Description
The increasing volume and complexity of available digital geographic data overwhelms traditional analytical modeling methods. Alternatively, we can exploit the increasing power of computational environments to analyze geographic phenomena with a minimum of simplifying assumptions. This course is a high-level introduction to the use of computational intelligence methods for exploring, analyzing, modeling and simulating geographic phenomena. Techniques discussed include heuristic search in spatial optimization, pattern recognition and machine learning techniques and simulating complex spatio-temporal systems.