Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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Course Descriptions: Search Results

GEO 429 Geoprocessing

Semester:
Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
GEO 325 or GEO 802 or approval of department
Description:
Applications of computer programming to address geographic information problems. Integration of digital spatial data, geographic information systems, spatial analysis, and expert systems.
Effective Dates:
SS15 - US17

GEO 429 Geoprocessing

Semester:
Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
GEO 325 or GEO 802 or approval of department
Description:
Applications of computer programming to address geographic information problems. Integration of digital spatial data, geographic information systems, spatial analysis, and expert systems.
Effective Dates:
FS17 - FS23

GEO 429 Programming with Spatial Data

Semester:
Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
GEO 221 or GEO 325 or GEO 425 or GEO 802 or approval of department
Recommended Background:
CMSE 201 or CSE 231 or FOR 372 or PLS 202
Description:
Applications of computer programming, such as Python, to address geographic information problems. Integration of digital spatial data, geographic information systems, spatial analysis, and expert systems.
Effective Dates:
SS24 - Open

GEO 429 Advanced Geospatial Data Science (Interim Change)

Semester:
Spring of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Prerequisite:
(GEO 221 or GEO 325 or GEO 425 or GEO 802) AND ((CMSE 201 or CSE 231 or FOR 372 or PLS 202) or approval of department)
Description:
Applications of computer programming, such as Python, to address geographic information problems. Integration of digital spatial data, geographic information systems, spatial analysis, and expert systems.
Effective Dates:
SS27 - Open