Challenges in Global Geospatial Analytics

What will be expected of you?

This course follows a blended learning environment. The first two weeks of the course feature collaborative learning at a distance. Penn State students will spend those weeks engaged in problem-solving activities via an online presence. The next two weeks feature Penn State students traveling to Enschede, Netherlands to spend time in an immersive environment collaborating with TU Wein students. The first week will be spent collaborating with graduate students at TU Wein while the second week will involve traveling to national mapping agencies of the EU. Following this two-week travel abroad, Penn State students will return to their respective homes and further develop the capstone deliverable in both written and video format.

Course Objectives

At the successful completion of this course, you should be able to:

• independently develop a workable solution to a geospatial problem
• work with a large geospatial database
• integrate powerful visualization and computational tools (such as Geospatial Analytics) to help provide a solution
• synchronously and asynchronously collaborate with peers to provide feedback and listen to critiques
• formally present a solution to a large-scale geospatial problem