Edge Computing Systems / Fall 2026


Course Description

Edge computing brings computation out of the cloud and onto small, distributed devices located where data is generated, enabling latency-sensitive, privacy-aware, and resilient systems across applications such as smart cities, environmental monitoring, and scientific instrumentation. Students design and implement full-edge pipelines that integrate embedded processors, sensors, communication protocols, and on-device machine learning; whereas cloud computing focuses on elastic resources and HPC emphasizes centralized performance at scale, edge systems require localized decision-making under strict power, bandwidth, and size constraints.

Time: Monday 03:00pm - 05:30pm
Location: CDRLC 1409

Previous Offerings


Instructors

Michael E. Papka

Office Hours: M 01:00 - 03:00 CDRLC 5407
F 09:00 - 10:30 CDRLC 5407
By appointment

Teaching Assistants

Office Hours: M 10:30 - 02:00 ERF 2070
W 10:30 - 02:00 ERF 2070
F 9:00 - 10:30 TA Space
F 12:00 - 02:00 TA Space
By appointment