Affordable healthcare, internal security, green energy, efficient manufacturing, clean air, and water are important challenges facing us. Internet of Things (IoT), comprising billions of ubiquitous connected sensors, aims to effectively address these challenges with minimal environmental impact.
In a typical IoT system, sensors measure environmental parameters, interface circuits perform signal conditioning and digitization. RF circuits transmit digitally processed data using miniature antennas. Standard networking protocols ensure the seamless connectivity of IoT nodes. Finally, classification algorithms to extract useful information from aggregated data.
This course will introduce you, using case studies, to the necessary tools to teach IoT concepts to your students or set up an IoT lab in your institution or build and deploy IoT systems at your company.
Lecture Modules: Introduction to IoT and Case studies of Gas, Bio Sensors Case Study: Agritech Case Study: Soil Quality Monitoring System for Agriculture IoT for Structural Monitoring Digital Signal Processing Networking of IoT Nodes Smart Energy Systems Overview of Statistical Methods in Machine Learning Audio Signal Processing Embedded Image Processing
Lab Modules: Demo of Temperature Sensor using Arduino DSP Lab for Audio and Image Processing
Who can Attend?
Teachers interested in IoT or setting up of IoT labs or build IoT systems, and industry participants who might be interested in deploying IoT systems.
To register online, click here.
The last date to register is August 30, 2019.
Phone Number: 022 2572 2545