We are excited to announce that Earth Analytics (GEOG 4563 / 5563) is open for enrollment for Fall 2017. The course is designed for students who want to learn how to use scientific programming tools to process, visualize and analyze different types of data including data from remote sensing platforms and sensors, geospatial sources, social media, in situ sensor networks and more.
While this course was previously held in the spring, the course will now be offered annually in fall and will no longer be offered in the spring.
This fall the course will be taught in the R programming language. Students will learn how to create data-driven reports and papers using the R scientific programming language and the RStudio programming interface. Next year, the course will be taught in Python with an option to take the course in R.
The course is open to both graduate and undergraduate students and no prior programming experience is required to enroll. More information including weekly code-intensive lessons, class assignments, and the syllabus can be found on the course webpage.
Starting fall 2018, this course will also count towards the professional certificate in Earth Data Analytics - Foundations.
We are currently piloting online course delivery of our data driven courses. This fall, there are a few spaces available for the online section of this course. Please contact Leah Wasser if you are interesting in taking the course remotely. We plan to get feedback from our online participants to better understand and optimize online course delivery.