Geographic Infomation SystemsInternship (GEO 285)

Term: Academic Year 2026-2027 Fall

Faculty

There is not currently a faculty member for this course

Description

01-26-2026
Change: number of credit hours, and part of the description

GEO 285: GIS Internship
Prerequisites or co-requisite: Successful completion of GEO 217 (Intro to GPS), GEO 267 (Intro GIS) or equivalent courses AND permission of instructor.
Credits: 3 cr. hr. (3 pd; 1 lec, 2 lab)
Course description: Students will gain real-world experience through an internship with an agency, company, non-profit organization, or tribal department involved in geospatial projects or environmental management. Internships may take place within the Tohono O’odham Nation or in the student’s own tribal or local community. Under the supervision of GIS preceptors or professional mentors, students will collaborate with community stakeholders on applied projects that address real-world challenges in areas such as natural resource management, cultural preservation, planning, and environmental conservation. At the end of the semester, preceptors will evaluate student performance. May be repeated for credit.



GEO 285: GIS Internship
Prerequisites or co-requisite: Successful completion of GEO 217 (Intro to GPS), GEO 267 (Intro GIS) or equivalent courses AND permission of instructor.
Credits: 1 cr. hr. (1 pd; 1 lec, 1 lab)
Course description: Students will gain real-world experience through an internship position with an agency, company, non-profit, or department within the greater Tohono O’odham Nation community. Students will work under the supervision of GIS preceptors and will collaborate with stakeholders on actual projects around the Tohono O’odham Nation. At the end of the semester, preceptors will evaluate student performance. Can be repeated for credit.

Student learning outcomes:

Upon successful completion of this course, students will be able to:
• Demonstrate an understanding of the physical science principles behind remote sensing.
• Demonstrate an ability to classify and interpret remotely sensed data.
• Select and critique the use of specific sensors and methods for a given environmental issue.
• Identify and describe the common sensors, platforms, technologies, and techniques used in remote sensing.
• Compar