GTECH 33100
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GTECH 33100 - Spatial Data Science 1 (3 cr)
Geography and Environmental ScienceARTSC - School of Arts and Sciences
Course Title
Spatial Data Science 1
Catalog Description
This practical hands-on course will introduce you to some of the main programming concepts and techniques relevant to computational methods of Spatial Data Science. The Course starts with the basics of algorithms, and work through examples of reading and writing pseudocode for some general, mathematical, and spatial operations. We will then dive into the nuts and bolts of Python as a first language and learn how to translate some basic operations into running code, in the context of representing and processing geospatial data. The class will also review some of the most commonly-used open- and closed-source Python libraries for spatial programming.
Minimum
3
Max
3
Contact Hours
4
Academic Progress Units
3
Repeat For Credit
No
Requirement Designation
Regular Non-Liberal Arts
Prerequisites & Corequisites
015353
Lecture