Class Time and Place: TF 12:00pm - 1:50pm, Location: Sage 2701
Instructor: Stacy Patterson sep AT cs.rpi.edu Office Hours: T 2:00pm - 3:00pm or by appointment
Schedule (slides are linked from schedule)
This course will explore research, frameworks, and applications in Edge Computing, with a focus on big data analytics. The class will begin with a review of current big data analytics frameworks for Cloud Computing. We will then explore frameworks for computing over edge devices and cloud. Finally, we will study algorithms for distributed data analytics over edge devices. The course content will come from research papers, articles, and software documentation. We will work together to develop a deep understanding of this content through class presentations and tutorials. Students will also create a research project of their choosing that leverages edge and cloud computing technologies.
You can get $75 credit for the Amazon cloud by signing up for AWS Educate. RPI is a member institution.
You should do your development on a local machine and only use the cloud for testing and evaluation. Make sure to terminate your instances when you are done to avoid extra charges.