SSJ388
ADVANCED VECTOR GIS
- Department
- Sustainability & Soc'l Justice
- Terms offered
- 3
- Data refreshed
- Jun 27, 2026
Description
This course builds upon the concepts introduced in Introduction to GIS, and focuses on the advanced vector GIS analysis. Topics include geoprocessing, coordinate systems and projections, spatial statistics, network analysis, geocoding, density mapping, space-time analysis and spatial clustering. Each week includes lectures and a computer lab that focuses on GIS applications in natural resource management, global change, environmental justice, urban and environmental planning, public health, and census data analysis. Students use ArcPro, GeoDa or QGIS software to complete weekly in-class demos and homework assignments. Final project is required. Knowledge of basic statistics is useful. This is a required course for MSGIS Program and counts as a skills course for other IDCE Masters programs. Formerly IDCE 388. Students who have already passed IDCE 388 cannot receive credit for SSJ 388 and should not take this course.
Syllabi
Sign in to view syllabi.
Offerings and forecast 2024–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 20% chance, low confidence. Offered in 1 of 3 fall terms since 2024. | 2030 Spring: not enough history to forecast. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: 14% chance, low confidence. Offered in 1 of 3 fall terms since 2024. Department course count falling about 20% per year. | 2029 Spring: not enough history to forecast. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: 15% chance, low confidence. Offered in 1 of 3 fall terms since 2024. Department course count falling about 20% per year. | 2028 Spring: not enough history to forecast. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: 16% chance, low confidence. Offered in 1 of 3 fall terms since 2024. Department course count falling about 20% per year. | 2027 Spring: not enough history to forecast. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | Not offered | 1 section | Not offered | No data |
| 2025 | Not offered | 1 section | Not offered | Not offered |
| 2024 | 1 section | Not offered | Not offered | Not offered |
Meeting times
Recent first- Tue, Thu, 10:25 AM–11:40 AM JC103 2026-12025-1
- Fri, 12:00 PM–1:15 PM JC103 2026-22025-2
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2026 | Yelena Ogneva-Himmelberger | Lecture | 1 | 28 of 20 enrolled | 34869 |
| Spring 2025 | Yelena Ogneva-Himmelberger | Lecture | 1 | 25 of 20 enrolled | 33903 |
| Fall 2024 | Yelena Ogneva-Himmelberger | Lecture | 1 | 4 of 20 enrolled | 23010 |