Edge Computing and Sensor Networks
Why colleges run this
As IoT scales, processing moves to the edge for speed and cost; students who can build within power and connectivity constraints meet an emerging industrial need.
Course outcomes
CO1
Explain the trade-offs between edge and cloud processing
K2CO2
Design a sensor-network topology for a stated deployment
K3CO3
Implement data filtering and aggregation at the edge
K3CO4
Account for power and connectivity constraints in an edge design
K4CO5
Deploy an edge application that synchronises to the cloud
K3Modules tap a module for its theory & lab
Hours shown are the recommended 3-day format — module time scales to the duration you pick.
01Edge computing foundations4 h
Theory
Why the edge, edge versus cloud trade-offs
Lab
Compare edge and cloud for a scenario
Output
Trade-off note
02Sensor networks4 h
Theory
Topologies, protocols, data collection
Lab
Design a sensor-network topology
Output
Topology design
03Edge processing4 h
Theory
Filtering and aggregating data at the edge
Lab
Filter and aggregate on the edge device
Output
Edge processing script
04Constraints4 h
Theory
Power budgets, connectivity, intermittent networks
Lab
Budget power and connectivity for a deployment
Output
Constraint budget
05Edge-to-cloud4 h
Theory
Synchronisation, buffering, store-and-forward
Lab
Buffer and sync data to the cloud
Output
Sync mechanism
06Edge capstone4 h
Theory
A deployed edge application within constraints
Lab
Deploy the capstone edge application
Output
Edge application
Every participant receives
Certificate of completion Course material LMS access Interview question bank Mock interview & viva practice Optional nasscom NSQF assessment