The following lists GIS courses are offered by different schools at Yale. Check the Yale course catalog or applicable departments for availability and more information.

Biostatistics:

BIS 511 01 (13314) / GIS Applications in Epidemiology and Public Health.
Theodore Holford

The study of epidemiology often seeks to determine associations between exposure risk and disease that are spatially dependent. Geographic Information Systems (GIS) are modern computer-based tools for the capture, storage, analysis, and display of spatial information. Public health applications of GIS provide cost-effective methods for evaluating interventions and modeling future trends, and they also provide a visual tool for data exploration. This class teaches the technical and design aspects of implementing a GIS project in public health, and provides students with basic tools for using GIS. Examples introduce a variety of applications in the field of epidemiology. Prerequisite: basic computer skills. Permission of instructor required.

Forestry and Environmental Studies:

F&ES 77010a, Modeling Geographic Space.
Dana Tomlin.

An introduction to the conventions and capabilities of image-based (raster) geographic information systems (GIS) for the analysis and synthesis of spatial patterns and processes. In contrast to F&ES 77011b, the course is oriented more toward the qualities of geographic space itself (e.g., proximity, density, or interspersion) than the discrete objects that may occupy such space (e.g., water bodies, land parcels, or structures). Three hours lecture, problem sets, one class project. No previous experience is required.

F&ES 77011b, Modeling Geographic Objects.
Dana Tomlin.

This course offers a broad and practical introduction to the nature and use of drawing-based (vector) geographic information systems (GIS) for the preparation, interpretation, and presentation of digital cartographic data. In contrast to F&ES 77010a, the course is oriented more toward discrete objects in geographical space (e.g., water bodies, land parcels, or structures) than the qualities of that space itself (e.g., proximity, density, or interspersion). Three hours lecture, problem sets, one class project. No previous experience is required.

F&ES 771 Applied Spatial Statistics.
Timothy Gregoire & Jonathan Reuning-Scherer

An introduction to spatial statistical techniques with computer applications. Topics include spatial sampling, visualizing spatial data, quantifying spatial association and autocorrelation, interpolation methods, fitting variograms, kriging, and related modeling techniques for spatially correlated data. Examples are drawn from ecology, sociology, public health, and subjects proposed by students. Eight to ten lab/homework assignments and a final project. Enrollment is limited to twenty-five students, with preference given to those whose research suggests analysis using spatial statistics.

F&ES 717a,b Project in Geographic Information Systems.
Faculty.

Computer Science:

CPSC 178 Visualization: Data, Pixels, and Ideas.
Holly Rushmeier

An introduction to the use of computer graphics as a medium for communication and discovery. Topics include computer graphics primitives and their association with data, relationships, and concepts to generate an image; real-time interactions with images; and the application of visualization to a variety of application domains, from science and engineering to business and the arts. Includes a section on Geographic Information Systems. No previous experience with computers necessary.

Center for Earth Observation:

ARCG362/ANTH762/F&ES506/G&G562/G&G362/ARCG762
Observing the Earth from Space.
Ronald Smith

A practical introduction to satellite image analysis of the Earth’s surface. Topics include the spectrum of electromagnetic radiation, satellite-borne radiometers, data transmission and storage, computer image analysis, the merging of satellite imagery with GIS and applications to weather and climate, oceanography, surficial geology, ecology and epidemiology, forestry, agriculture, archaeology, and watershed management.
Preference to undergraduates in Geology and Geophysics, Anthropology, and Environmental Studies. Prerequisites: college-level physics or chemistry, two courses in geology and natural science of the environment or equivalents, and computer literacy.