Description

 Understand the fundamental concepts of the Internet of Things (IoT) and the applications of the IoT and AI Integration (AIoT)  Study the basic architecture and core modules of IoT including the protocols and platforms for sensing, networking and data analytics  Explore potential scenarios where AI can be effectively applied in the context of IoT, and implement AIoT methods and techniques to address diverse and complex challenges in practical IoT applications.  Learn how to deploy AI models and techniques for the enhancement of IoT operations such as efficiency improvement, cost reduction or event detection.  Acquire the skills to implement Distributed Intelligence on the edge of IoT systems.

Program

Artificial Intelligence 132 CRs

Objectives

• This course demystifies the union of IoT devices—billions of connected sensors and gadgets—with AI. Topics encompass edge computing, where AI models are run on devices rather than central servers, energy-efficient model designs, and real-time data analytics. Students will prototype smart systems, from home automation to urban planning solutions.