An introductory-level course covering the fundamentals of GIS. Topics include GPS, remote sensing, data models (vector and raster), coordinate systems, and map design. Instruction is accomplished through lectures and hands-on computer lab exercises using ArcGIS.

An intermediate-level course. Students conduct real-world GIS projects for community organizations in Chicagoland. Topics include data capture, manipulation, database design, data quality, and spatial analysis. Students will complete projects following best practices of GIS project management. Instruction is accomplished through lectures and hands-on computer lab exercises using ArcGIS.

An introduction to the fundamentals of remote sensing, the analysis of the earth through air or space borne sensors. Special topics include image interpretation, image processing, change analysis, environmental monitoring, and photogrammetry. Instruction is accomplished through lectures and hands-on lab exercises using IDRISI. A small lab fee will be charged.

This course presents intermediate to advanced techniques in remote sensing, analysis of the earth through air or space borne sensors. Remote sensing is defined as "the technique of obtaining information about objects through the analysis of data collected by special instruments that are not in physical contact with the objects of investigation" (Avery and Berlin 1992). In this course we will be concerned primarily with the uses and applications of data acquired by various electromagnetic sensors being operated from airborne and spaceborne platforms, i.e. aircraft and satellites. The purpose of Remote Sensing II is to provide 2nd level depth to some of the more advanced techniques of remote sensing and image interpretation, following on the introductory prerequisite GEO 243. In addition there will be a detailed survey of federal remote sensing projects (mainly from NASA) and the climate-centered focus on the earth system that these provide - in essence the most comprehensive source of evidence for climate research. There is a special focus on urban/environmental applications of remote sensing, i.e. the detection, delineation, identification, and quantification of processes occurring in and around cities which affect the environment. Remote sensing technologies have, to an increasing extent, become integrated and deployed through geographic information systems (GIS) technology. Students learn to integrate techniques from this course to produce information products that are useful in the support of public and private decision-making. ENVI - an advanced image processing application that is integrated with the ArcGIS desktop is the principal platform used for instruction in the course. Techniques covered include advanced classification, georeferencing, LIDAR, and hyperspectral data analysis. The course will be taught through integrated hands-on activities, lectures and a comprehensive final project.

An advanced-level course. Students conduct spatial analysis of sustainability issues of their interests. Topics include geographic visualization, network analysis, spatial interpolation, and exploratory spatial data analysis. Instruction is accomplished through lectures and hands-on computer lab exercises using ArcGIS. PREREQUISITE(S): GEO 242 or consent of instructor. Formerly GEO 244.

An overview of research techniques in geography with a focus on a statistical approach. Students will get versed in quantitative reasoning by learning how statistical concepts and techniques are applied to geographic problems. Topics include research concepts, research design, descriptive statistics, and inferential statistics geared toward understanding geographic phenomena. Instruction is accomplished through lectures and hands-on exercises using calculators, SPSS and ArcGIS. PRE-REQUISITE(S): GEO 241.