Teaching

These are courses in the Department of Geography, Environment, and Society in the College of Liberal Arts. See the courses pages at U-Spatial and the MGIS program to see excellent courses from other departments!

Mapping Our World introduces you to the world of maps, where students learn mapping principles and how maps and mapping relate to society, as well as methods of map use and analysis. The labs allow you to gain hands-on experience using maps and performing basic mapping tasks (GEOG 1502).

Principles of Geographic Information Science is an introduction to the study of geographic information systems (GIS) for geography and non-geography students (GEOG 3561/5561)

Advanced Geographic Information Science continues the exploration of key topics in GISc, including map projection, data models, error/uncertainty, change analysis, GIS and society, advanced raster processing, advanced vector methods, and spatial analysis (GEOG 5563).

Urban Geographic Information Science covers core concepts in urban geographic information science including sources for urban geographical and attribute data (including census data), urban data structures, urban spatial analyses, geodemographic analysis, and network analysis (GEOG 5564).

Geographical Analysis of Human-Environment Systems expands on aspects of GISc and statistics covered by previous courses, and introduce ways in which GIS can be used to explore human-environment systems (GEOG 5565).

Advanced Geocomputing examines advanced study of computational approaches used in spatial analytics and modeling.  Topics include spatial data processing, parallel computation, spatial big data, cyberGIS, and open source libraries and tools. Hands-on experience developing spatial algorithms and using GIS packages.

Advanced Cartography and Geovisualization examines recent advances in hardware, software, and sensor technologies, exploring how the field of Geography has entered a new digital and data rich era that has led to increasing interest in interactive and dynamic visualizations in both 2D and 3D environments. This course introduces students to the principles of Geographic visualization (or Geovisualization) and reviews relevant software technologies and current trends in spatial and spatiotemporal data visualization methods. Students will learn to design and create interactive and dynamic visualizations.

Seminar in Spatial Analysis and Modeling explores different ways of analyzing and modeling human-environment interaction from a spatial analysis and modeling perspective (GEOG 8292).

Basic Spatial Analysis covers concepts and methods of basic spatial analysis, including exploratory spatial data analysis, global and local spatial autocorrelation, and spatial regression. It will utilize two primary software tools for spatial analysis: GeoDa and R. The course is largely lab-based, with students completing an individual cumulative project on a topic of interest in conjunction with lab activities over the course of the semester (GIS 5555).

Other GIS courses:

  • GIS 5571    ArcGIS I
  • GIS 5572    ArcGIS II
  • GIS 5573    Introduction to Digital Mapping: ArcGIS Basics
  • GIS 5574    Web GIS and Services
  • GIS 5575    Practical Surveying for GIS
  • GIS 5577    Spatial Data Design and Administration
  • GIS 5578    GIS Programming