Advanced GIS

Winter 2014 quarter

Taught by

fluvial geomorphology, geographic information systems

Advanced GIS is a fast-paced course designed to teach graduate students to use Geographic Information Systems (GIS) for mapping, spatial data management, and spatial data analysis. Instruction is based on reading assignments, lectures, and weekly hands-on labs using ArcGIS 10.1. Evaluations are based on the quality of student-produced map and analysis products and two quizzes. No previous experience with GIS is required, but students should have experience with quantitative software and must be able to demonstrate a solid understanding of MS Windows file management. Students will be expected to use the software outside of class, and student versions of the software will be made available, but support is limited to college computers (note: software runs only under MS Windows, see requirements: ).

Faculty Biography:

Greg Stewart, Ph.D., is a fluvial geomorphologist who teaches as adjunct faculty in Evergreen’s Evening and Weekend Studies program and the Graduate Program on the Environment. Greg is an applied researcher working on issues related to the interaction between humans and fluvial and ecological systems.  He currently works for the Northwest Indian Fisheries Commission.  Greg has various teaching interests including the use of geographic information systems theory and practice, fluvial geomorphology, geology, and statistics. Greg holds a B.S. from The Evergreen State College, an M.S. in Watershed Science from Colorado State University, and a Ph.D. in Geology from Oregon State University.

Program Details

Location and Schedule

Campus location



Offered during: Evening

Advertised schedule: 6-10p Wed


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Online Learning

Enhanced Online Learning: Access to web-based tools required, but use of these tools does not displace any face-to-face instruction.

Undergraduate Credit Option

Requires Faculty Approval

Registration Information

Credits: 4 (Winter)

Class standing: Graduate

Maximum enrollment: 15


Course Reference Number

(4 GR credits): 20233

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