Edge Computing

Description from DukeHub

A seminar-format examination of design principles and recent advances in edge computing, a distributed networked system architecture that places computing and storage at multiple locations between the user and the cloud. The class covers edge computing platforms, edge-adapted algorithms, and the use of edge in mobile and Internet of Things systems and applications. The class focuses on in-depth examinations of key scientific advances in the field. Students complete and present a research-based project, individual or team-based. Prerequisite: ECE/COMPSCI 356 or ECE/COMPSCI 350L or ECE 353/COMPSCI 310 or Graduate Standing.

Skills

• programmingdepartment: COMPSCI
• research methodsAI review: "Students complete and present a research-based project"

AI-resilient: 1 of 5 1/5

• No: Physical, lab or field work
• ✓Yes: Live work with people · "team"
• No: Judgment someone is accountable for
• No: A craft you practice with your hands or body
• No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

More in COMPSCI

• Introduction to Computer Science COMPSCI 101L
• Data Structures and Algorithms COMPSCI 201
• Introduction to Computer Systems COMPSCI 210D
• Everything Data COMPSCI 216
• Discrete Math for Computer Science COMPSCI 230
• Computer Architecture COMPSCI 250D

All COMPSCI courses · All of Graduate School