SSJ30274
COMPUTER PROG FOR GIS
- Department
- Sustainability & Soc'l Justice
- Terms offered
- 1
- Data refreshed
- Jun 27, 2026
Description
This course introduces fundamental concepts of computer programming for geoprocessing, spatial analysis and mapping. This course is ideal for graduate students and upper level undergraduates who want to learn about programming skills for GIS. Topics covered include the use of Python and related packages, Python within the ArcGIS environment, the basics of Google Earth Engine, and a series of lectures and activities around understanding user needs and prototyping ideas using Human Centered Design methods. The course consists of technical lab exercises, tutorials, and group work. Formerly IDCE 30274. Students who have already passed IDCE 30274 cannot receive credit for SSJ 30274 and should not take this course.
Syllabi
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Offering history & forecast 2024
2024
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: not enough history to forecast. | 2030 Intersession: not enough history to forecast. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: not enough history to forecast. | 2029 Intersession: not enough history to forecast. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: not enough history to forecast. | 2028 Intersession: not enough history to forecast. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: not enough history to forecast. | 2027 Intersession: not enough history to forecast. |
| 2024 | 1 section | Not offered | Not offered | Not offered |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent firstNo meeting times recorded for this course.
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2024 | Yanan Wu | Lecture | 0.5 | 12 of 20 enrolled | 23007 |