I thought the course was addressed to either GIS experts wanting to use python and distributed computing resources or data scientists wanting to move to the geospatial domain (my case).In both cases I was expecting more focus on GIS-type analysis and data representation performed with Python in the form of notebooks with geopandas manipulation and folium visualization of geodata samples, for example. I understand that Hadoop plays an important role for CyberGIS (or is it still the case now that we can easily have autoscaling clusters in the cloud ?). However it's a too large topic in my opinion to be addressed in this course. I would have appreciated much more some notebooks with spatial analysis and results visualizations instead.
This course is 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. Emphasis is placed on learning the cutting-edge advances of cyberGIS and its underlying geospatial data science principles.