GGIS 507

Fall 2026 Part of Term A

Part of Term A
Aug 24-Oct 16

High-Performance Geospatial Computing

Credit: 4 hours.

Intended to introduce students to high-performance geospatial computing using python to resolve computational bottlenecks and produce faster and scalable solutions. Students will learn how to use Python on high-performance and parallel computing architecture. Specifically, NumPy, SciPy, Numba, and Cython will be covered to optimize and speed up geospatial computation. Students will use CyberGISX as the primary learning environment, and be expected to learn how to develop such notebooks to address computational challenges in solving geospatial problems. By the end, students will have gained solid knowledge of common Python tools for developing high-performance geospatial computing solutions that can be applied to many applications.

Prerequisite: GGIS 407 or equivalent.

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GGIS 507 class schedule data for fall 2026
	Status		CRN	Type	Section	Time	Day	Location	Instructor	Section Details
			77082	Online	MS	ARRANGED	n.a.	n.a.	Umar, U	Availability: CrossListOpen (Restricted) Part of Term: A Date Range: 08/24/26-10/16/26 Restriction(s): Restricted to NDEG:WeatherClimteRA ONL-UIUC, MS:WeatherClimteRA ONL-UIUC, MS:Environ Geology ONL-UIUC, NDEG:Environ Geology ONL-UIUC, MS:GIS & Data Sci ONL - UIUC, or NDEG:GIS & Data Sci ONL -UIUC.
			78168	Online	ONL	ARRANGED	n.a.	n.a.	Umar, U	Availability: CrossListOpen (Restricted) Part of Term: A Date Range: 08/24/26-10/16/26 Restriction(s): Restricted to Graduate - Urbana-Champaign. Not intended for NDEG:WeatherClimteRA ONL-UIUC, MS:WeatherClimteRA ONL-UIUC, MS:Environ Geology ONL-UIUC, NDEG:Environ Geology ONL-UIUC, MS:GIS & Data Sci ONL - UIUC, or NDEG:GIS & Data Sci ONL -UIUC.