GEOG 407 A - CyberGIS & Geospatial Data Sci

Description:

Intended to introduce students to CyberGIS - Geospatial Information Science and Systems (GIS) based on advanced cyberinfrastructure as well as the state of the art in high-performance computing, big data, and cloud computing in the context of geospatial data science. Students will use CyberGISX, which is an innovative cyberGIS framework for conducting data-intensive, reproducible, and scalable geospatial analytics with Jupyter Notebook as its primary user environment. Students are expected to learn how to develop Jupyter notebooks to analyze and visualize geospatial data using leading-edge cyberGIS software and python libraries. Emphasis is placed on learning the cutting-edge advances of cyberGIS and its underlying geospatial data science principles. Course Information: Same as GEOL 407. 4 undergraduate hours. 4 graduate hours.

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Fall , Spring , Summer