MIDAS and CSCAR will hold a drop-in coding session focusing on using the Julia programming language for basic data analysis.  No prior experience with Julia is expected.  The session will focus on analyzing large public AIS datasets recording the tracks of ships traveling in US coastal waters.  Participants can use [these materials](link below) as a starting point, learning to manipulate, analyze and model the AIS data using Julia.  An experienced Julia programmer will be present to explain the example code, and to guide people who wish to explore the data in other ways.

Participants should bring a laptop, and plan to either install Julia on their machine, or use a Great Lakes account to run Julia on the UM cluster.